Jobs for Machine Learning Engineer

Assistant Resident Engineer

Job Description Job Description Savin Engineers has immediate opening for Assistant Resident Engineer for long term project in Manhattan. Manage the scope of work, schedule, contractor’s field procedures and construction problems, and other technical information for the successful delivery of projects within budget and schedule. Work generally pertains to building improvements, civil site work, utility modifications and upgrades, and maintenance of traffic, with some electrical, environmental, and plumbing knowledge. Act as the day-to-day construction manager for assigned projects, reporting the Senior Resident Engineer. Understand the Contract and assist the Senior Resident Engineer in using its clauses to administer and enforce policy necessary to complete projects. Advise Senior Resident Engineer of contractor disputes and help use the administrative process to resolve. Oversee field staff – ensure that they are properly carrying out their functions of ensuring proper installation and advancement of construction and that they are filing the proper documentation. Review contractor payments, assist the Senior Resident Engineer in reporting monthly on construction progress and financial health of projects, and elevate potential issues. Required: Bachelor’s degree in Civil or Structural Engineering Minimum 10 years of experience managing construction work, varied in size Valid driver’s license required. Ability to obtain a high SWAC clearance. OSHA 30 will be required (can obtain if needed) ACI Concrete Special Inspector, Structural steel bolting inspector; and Work Zone Safety Certifications are desirable. Company Description Savin Engineers, P.C. is a well-established, mid-size engineering firm headquartered in Westchester County, NY with offices in Pleasantville, NY, Rochester, NY, Bridgewater, NJ and Washington DC. Savin Engineers is always looking for talented and motivated individuals to join our team. We are a growing and vibrant multi-disciplined engineering consulting firm with six divisions united under one roof. Our MEP Division (high performance, low energy solutions) is reinforced by our Transportation Division (roads, tunnels, bridges, railways and airports), our Structural Division (structural solutions and structures of dependable performance); our Environmental Division (systems to safeguard our water), our Field Services Division (technology to detect subterranean system failures), and our Educational (turnkey assistance from concept to close out) and Facilities Management (infrastructure and building operation analysis) Division. We offer exciting opportunities to build careers in any of our multiple office locations. Whether it’s planning, design, field inspection or construction administration – any area of the company you may be involved in is staffed with a diverse group of highly-educated, qualified mentors working on a wide range of interesting assignments. We offer a competitive benefit and compensation package. Savin Engineers is an Equal Opportunity Employer Company Description Savin Engineers, P.C. is a well-established, mid-size engineering firm headquartered in Westchester County, NY with offices in Pleasantville, NY, Rochester, NY, Bridgewater, NJ and Washington DC. Savin Engineers is always looking for talented and motivated individuals to join our team. We are a growing and vibrant multi-disciplined engineering consulting firm with six divisions united under one roof. Our MEP Division (high performance, low energy solutions) is reinforced by our Transportation Division (roads, tunnels, bridges, railways and airports), our Structural Division (structural solutions and structures of dependable performance); our Environmental Division (systems to safeguard our water), our Field Services Division (technology to detect subterranean system failures), and our Educational (turnkey assistance from concept to close out) and Facilities Management (infrastructure and building operation analysis) Division. We offer exciting opportunities to build careers in any of our multiple office locations. Whether it’s planning, design, field inspection or construction administration – any area of the company you may be involved in is staffed with a diverse group of highly-educated, qualified mentors working on a wide range of interesting assignments.\r\n\r\nWe offer a competitive benefit and compensation package. \r\nSavin Engineers is an Equal Opportunity Employer

Work Life Balance

Nuclear Engineer

US Navy (Wavemaker) (USD) New York, NY

It takes hard work and smarts to get you into the reactor room. But if you have a strong interest in math, chemistry, physics and engineering, you might just have what it takes to be a Machinist's Mate Nuclear. As an MMN, you are the Navy's nuclear reactor mechanic. It is your responsibility to perform all maintenance on the steam-powered propulsion plants aboard aircraft carriers and submarines to ensure our fleet can move safely. And your hard work can lead to great rewards. As an MMN, you'll be eligible to receive up to a $50,000 bonus for first-time enlistment. Re-enlistment bonuses are also available. Think you have what it takes to make a nuclear-powered ship run? Want to start your journey with the Navy? Apply Now Enlisted None What to Expect Machinist's Mate Nuclear More Information Responsibilities Nuclear Machinist's Mates operate and maintain steam turbines and reduction gears used for nuclear ship propulsion and auxiliary machinery such as turbogenerators, pumps and oil purifiers. They also maintain auxiliary machinery outside of main machinery spaces, such as electrohydraulic steering engines and elevators, refrigeration plants, air conditioning systems and desalinization plants. They may also operate and maintain compressed gas producing plants. Nuclear-trained MMs perform duties in nuclear propulsion plants operating reactor control, propulsion and power generation systems. Work Environment As a Machinist's Mate Nuclear, you'll have the opportunity to work at sea or ashore. Your assignment could also place you in an intense, fast-paced environment aboard a nuclear-powered submarine or aircraft carrier. Learn more about submarine service and life on a ship . Training & Advancement Upon completion of initial training at Recruit Training Command Great Lakes, (known as Boot Camp), those pursuing a Machinist's Mate Nuclear role report to "A" School in Charleston, SC, for six months. Here, they develop a working knowledge of technical mathematics and power distribution. Students learn to solve basic equations using phasors, vector notations and basic trigonometry and analyze DC and AC circuits. They also learn how to operate electrical equipment using controllers, and how to properly test, maintain, troubleshoot, and repair electrical circuits, motors and other related electrical equipment. From there, MMNs move on to Naval Nuclear Power School (NNPS), also in Charleston, SC. Here they learn theory and practical application of nuclear physics and reactor engineering. The six-month course provides a comprehensive understanding of a pressurized-water Naval nuclear power plant, including reactor core nuclear principles, heat transfer and fluid systems, plant chemistry and materials, mechanical and electrical systems, and radiological control. Following NNPS, MMNs begin prototype training in their rating specialty at one of two Nuclear Power Training Units (NPTUs) - located in Charleston, SC, and Ballston Spa, NY. This six-month course teaches the fundamentals of a Naval nuclear power plant and the interrelationship of its mechanical, electrical, and reactor subsystems. Students develop oral communications skills, obtain an understanding of nuclear radiation, and gain knowledge of the safe operation of a complex Naval nuclear power plant. In Nuclear Operations, promotion opportunities are regularly available but competitive and based on performance. Post-Service Opportunities It's also important to note that specialized training received and work experience gained in the course of service can lead to valuable credentialing and occupational opportunities in related fields in the civilian sector. Education Opportunities Beyond offering access to professional credentials and certifications, Navy technical and operational training for a Machinist's Mate Nuclear can translate to credit hours toward a bachelor's or associate degree through the American Council on Education . You may also continue your education through undergraduate degree opportunities like the Navy College Program and Tuition Assistance and the Post-9/11 GI Bill. Qualifications & Requirements A high-school diploma or equivalent is required to become an Enlisted Sailor and Machinist's Mate Nuclear in the Navy. Those seeking a role as a Machinist's Mate Nuclear must be U.S. citizens with successful completion of one year of Algebra, and who can meet eligibility requirements for a security clearance. General qualifications may vary depending upon whether you're currently serving , whether you've served before or whether you've never served before . Part-Time Opportunities There are no part-time jobs as a Navy Reserve Sailor in this role. Go back to Careers to find other jobs that have a Reserve component. You can also find out more about what life is like as a Reserve Sailor in the Navy.

High salary

Electronics Engineer

US Navy (Wavemaker) (USD) New York, NY

Navigating a submarine across the dark ocean floor isn't an easy task. It requires pinpoint accuracy and the careful coordination of multiple systems. As an Electronics Technician Navigation, that's where your expertise comes in. From tracking a submarine's underwater inertia to detecting obstacles by radar, you'll operate and maintain the systems that get your sub to its destination. Want to start your journey with the Navy? Apply Now Enlisted None What to Expect Electronics Technician Navigation/Communication More Information Responsibilities Electronics Technicians Navigation (ETV) are responsible for maintaining all electronic equipment used in navigating and piloting submarines. As an ETV, your responsibilities may include: Maintaining, repairing, calibrating, tuning and adjusting navigation equipment Operating, monitoring and maintaining radar, gyrocompass, inertial navigation and global positioning systems Maintaining equipment used to detect, identify and track other maritime vessels Maintain accurate navigation data, and develop and execute navigation plans Conducting preventive maintenance on interior communications circuitry Operating atmosphere monitoring equipment and ship control subsystems Using and maintaining hand tools and portable power tools Perform watch and lookout duties Work Environment As an ETV, you'll work primarily aboard submarines in a clean, controlled environment. You may also work indoors in a clean lab or shop environment while on shore. Training & Advancement Upon completion of initial training at Recruit Training Command Great Lakes (known as Boot Camp), you'll report for specialized training, including: Basic Enlisted Submarine School (8 weeks) in Groton, CT, for training in basic submarine systems Class "A" Technical School and Specialty Pipeline School (14-28 weeks) in Groton, CT, for instruction in basic electricity, electronics and computer technical knowledge and skills, and training in communications aboard fast attack or ballistic missile submarines Advanced Training Advanced training as an ETV, including "C" School instruction on advanced equipment maintenance, may also be available during later stages of your career. For those with further leadership aspirations and a college degree, Officer roles may be available, providing opportunities to lead and train others. Post-Service Opportunities Specialized training received and work experience gained in the course of service can lead to valuable credentialing and occupational opportunities in related fields in the civilian world, such as electrical engineering and telecommunications. Education Opportunities Beyond offering access to professional credentials and certifications, Navy technical and operational training as an Electronics Technician Navigation can translate to credit hours toward a bachelor's or associate degree through the American Council on Education . You may also continue your education through undergraduate degree opportunities like the Navy College Program and Tuition Assistance and the Post-9/11 GI Bill. Qualifications & Requirements A high-school diploma or equivalent is required to become an Enlisted Sailor and an Electronics Technician Navigation. You must also be a U.S. citizen eligible for security clearance. ETVs should have strong arithmetic, writing and speaking skills, as well as the ability to use computers. You should also be able to perform detailed work, keep accurate records, and function well as part of a team. Important physical attributes include good manual dexterity and physical strength. To serve as an ETV, you must be willing to serve aboard submarines. General qualifications may vary depending upon whether you're currently serving , whether you've served before or whether you've never served before . Part-Time Opportunities There are no part-time jobs as a Navy Reserve Sailor in this role. Go back to Careers to find other jobs that have a Reserve component. You can also find out more about what life is like as a Reserve Sailor in the Navy.

Developmental Engineer

United States Air Force New York, New York

ADVANCING OUR OPERATIONS In order for us to complete our missions, our technology simply cannot fail. Covering a wide range of specialties ranging from aeronautical and computer systems to flight test and mechanical, Developmental Engineers provide advanced skill and knowledge of their particular specialties. Responsible for everything from the planning to implementation of their projects, these experts are essential to the success of operations all over the world. REQUIREMENTS You must meet several requirements before joining the Air Force. These concern your background, overall health and other standards set by the Air Force, Department of Defense and federal law.Minimum Education Bachelor’s degree in engineering related to one of the following specialties: aerospace, aeronautical, astronautical, computer, electrical, electronics, communication or mechanical Qualifications Completion of the Defence Acquisition University Fundamentals of Systems Acquisition Management course or Acquisition Fundamentals course Completion of the Air Force Flight Test Engineer course or comparable Minimum of 24 months of experience in qualified position or a master’s degree in a specified discipline and 12 months’ experience or a Doctor of Philosophy degree in a specified discipline Completion of Officer Training School (OTS), Air Force Academy (AFA) or Air Force Reserve Officer Training Corps (AFROTC) Must be between the ages of 18 and have not reached your 42 nd birthday

Boiler and Machinery Risk Engineer (Representative or Consultant)

Zurich Insurance Company Ltd. New York, NY

Zurich is seeking a Machinery Breakdown Risk Engineer. The qualified individual must reside within New York City, Long Island, or Northern New Jersey. This is a field role with approximately 25% overnight travel. This is a work from home role and includes a company car. As a Machinery Breakdown Risk Engineer you are responsible for: Providing jurisdictional inspections and machinery breakdown risk assessment services for customers and business partners. Provides intermediate machinery breakdown consultative services to customers, including identifying exposures with significant loss potential, investigation of cause/effect of major losses and hazard/machinery breakdown management programs. Provides basic level training for customers, service design and coordination, marketing, and loss investigations. Final candidates will also be subject to a Motor Vehicle record background check, because this position includes a company car. The role will be filled at the Risk Engineering Representative or Risk Engineering Consultant level. The hiring manager will determine the appropriate level based upon the selected applicant’s experience and skill set relative to the qualifications listed for this position. Basic Qualifications: Risk Engineering Representative: Bachelors Degree and 2 or more years of experience within Boiler and Machinery in the Risk Engineering and Safety area OR High School Diploma or Equivalent and 4 or more years of experience within Boiler and Machinery in the Risk Engineering and Safety area OR Risk Engineering Consultant: Bachelors Degree and 3 or more years of experience within Boiler and Machinery in the Risk Engineering area OR High School Diploma or Equivalent and 5 or more years of experience within Boiler and Machinery in the Risk Engineering area Preferred Qualifications: Knowledge within the boiler and machinery industry segment Relevant experience in the assessment of risk, based on what is required by Machinery Breakdown specific competency standards National Board of Boiler and Pressure Vessel Inspectors Commission Card Navy Nuclear School Insurance industry experience Advanced Microsoft Office skills (Microsoft Outlook, Excel, Teams, and Word) Strong communication and organization skills Experience working in a team environment Compensation for roles at Zurich varies depending on a wide array of factors including but not limited to the specific office location, role, skill set, and level of experience. As required by local law, Zurich provides in good faith a reasonable range of compensation for roles. For additional information about our Total Rewards, click here . Other rewards may include short term incentive bonuses and merit increases. Candidates with salary expectations outside of the range are encouraged to apply, and will be considered based on experience, skill, and education. The salary provided is a nationwide market range and has not been adjusted for the applicable geographic differential associated with the location where the position may be filled. The combined salary range for this position is $64,600.00 - $121,700.00. The starting salary range for the Risk Engineering Representative is $64,600.00 - $105,900.00 and for the Risk Engineering Consultant is $74,300.00 - $121,700.00. As an insurance company, Zurich is subject to 18 U.S. Code § 1033. As a condition of employment at Zurich, employees must adhere to any COVID-related health and safety protocols in place at that time ( https://www.zurichna.com/careers/faq ). A future with Zurich. What can go right when you apply at Zurich? Now is the time to move forward and make a difference. At Zurich, we want you to share your unique perspectives, experiences and ideas so we can grow and drive sustainable change together. As part of a leading global organization, Zurich North America has over 150 years of experience managing risk and supporting resilience. Today, Zurich North America is a leading provider of commercial property-casualty insurance solutions and a wide range of risk management products and services for businesses and individuals. We serve more than 25 industries, from agriculture to technology, and we insure 90% of the Fortune 500®. Our growth strategy is not limited to our business. As an employer, we strive to provide ongoing career development opportunities, and we foster an environment where voices are diverse, behaviors are inclusive, actions drive equity, and our people feel a sense of belonging. Be a part of the next evolution of the insurance industry. Join us in building a brighter future for our colleagues, our customers and the communities we serve. Zurich maintains a comprehensive employee benefits package for employees as well as eligible dependents and competitive compensation. Please click here to learn more. As a global company, Zurich recognizes the diversity of our workforce as an asset. We recruit talented people from a variety of backgrounds with unique perspectives that are truly welcome here. Taken together, diversity and inclusion bring us closer to our common goal: exceeding our customers’ expectations. Zurich does not discriminate on the basis of age, race, ethnicity, color, religion, sex, sexual orientation, gender expression, national origin, disability, protected veteran status or any other legally protected status. EOE disability/vet Zurich does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resume will become the property of Zurich American Insurance. If you are a preferred vendor, please use our Recruiting Agency Portal for resume submission. Location(s): AM - New York, AM - New York Virtual Office Remote Working: Yes Schedule: Full Time Employment Sponsorship Offered: No Linkedin Recruiter Tag: #LI-AW1 #LI-ASSOCIATE

Machine Learning Engineer

DCM Staffing New York, NY

Machine Learning Engineer Queens, US Posted: 12/23/2024 Job Number: 29170407 Job Description Machine Learning Engineer hybrid in Queens (3 days in-office): We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary focus on Ad Score and Ad Account Health. You will play a crucial part in delivering actionable insights and solutions to our clients, and your work will be integral to our mission. Responsibilities include but are not limited to: ML Model Development: Lead the development and refinement of predictive ML models, particularly Ad Score and Ad Account Health. Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that inform model development and optimization. Feature Engineering: Collaborate with data engineers to create and maintain feature engineering pipelines to support model training. Model Evaluation: Implement rigorous evaluation methodologies to assess model performance, making necessary adjustments for continuous improvement. Deployment and Integration: Work closely with engineering teams to deploy models and integrate them into our products through APIs. Collaboration: Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless integration of data science solutions into our products. Research and Innovation: Stay up-to-date with the latest developments in the field of data science and machine learning, and explore innovative approaches to problem-solving. Requirements Master's or Ph.D. in a related field with a strong academic background. Proven experience as a Data Scientist with a track record of developing and deploying predictive ML models. Expertise in machine learning techniques, including but not limited to regression, classification, clustering, and deep learning. Proficiency in data manipulation, feature engineering, and model evaluation. Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, or scikit-learn. Excellent communication skills and the ability to collaborate effectively within cross-functional teams. A passion for continuous learning and staying updated with the latest trends and technologies in data science. Strong problem-solving abilities and the capacity to translate complex data into actionable insights. Tech Stack Google Analytics Hotjar Rollbar Azure Portal Terraform Cloud We offer a competitive salary and benefits based on ability level, including: Unlimited vacation policy Monthly Phone Stipend Comprehensive Medical, Dental, and Vision insurance options 401(K) plan with matching Dog friendly office Hybrid work opportunity Professional Development Program Bonus Perk - $50/week Seamless allowance Base salary based on education, experience, and skills level ($145,057-$325,000) this is based on base salary + bonus - depending on experience. #J-18808-Ljbffr

Machine Learning Engineer

Next Ventures New York, NY

This range is provided by Next Ventures. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $180,000.00/yr - $240,000.00/yr Machine Learning Engineer - Ad Tech A Performance Marketing Company is currently looking to hire a talented and passionate Machine Learning Engineer to join their growing team. In this role, you will play a crucial part in developing and deploying cutting-edge machine learning models to optimize ad performance and improve client outcomes. This position will require you to be onsite 4 days a week in their Long Island City Office Responsibilities Develop, train, and deploy predictive ML models for key metrics like Ad Score and Ad Account Health. Conduct in-depth data analysis to identify trends, patterns, and insights that inform model development and optimization. Collaborate with data engineers to design and implement robust feature engineering pipelines. Rigorously evaluate model performance, track key metrics, and continuously improve model accuracy. Work closely with product, engineering, and data science teams to integrate ML solutions into our products. Stay abreast of the latest advancements in machine learning and explore innovative approaches to problem-solving. Qualifications Master's or Ph.D. in Computer Science, Statistics, or a related field. 2+ years of experience developing and deploying predictive ML models in a production environment. Expertise in machine learning techniques (regression, classification, clustering, deep learning). Proficiency in Python and experience with libraries like TensorFlow, PyTorch, scikit-learn. Strong data manipulation and feature engineering skills. Excellent communication and collaboration skills. Passion for solving complex problems and a strong work ethic. Bonus Points: Experience with ad tech or marketing technology. Familiarity with cloud platforms (AWS, Azure, GCP). Experience with MLOps and CI/CD for ML models. Seniority level Mid-Senior level Employment type Full-time Job function Engineering, Information Technology, and Other Industries Engineering Services, Software Development, and Technology, Information and Media #J-18808-Ljbffr

Distinguished Machine Learning Engineer

Capital One New York, NY

Distinguished Machine Learning Engineer As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. In this role, you will be supporting the Bank Tech organization. You will lead development and implementation that will enable business initiatives, working with other leaders and teams across the enterprise to enable these solutions. What you’ll do in the role: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams. Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems. Lead large-scale ML initiatives with the customer in mind. Leverage cloud-based architectures and technologies to deliver optimized ML models at scale. Optimize data pipelines to feed ML models. Use programming languages like Python, Scala, C/C++. Leverage compute technologies such as Dask and RAPIDS. Evangelize best practices in all aspects of the engineering and modeling lifecycles. Help recruit, nurture, and retain top engineering talent. Basic Qualifications Bachelor’s degree. At least 10 years of experience designing and building data-intensive solutions using distributed computing. At least 6 years of experience programming in C, C++, Python, or Scala. At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting. At least 2 years of experience using Dask, RAPIDS, or in High Performance Computing. At least 2 years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn). Preferred Qualifications Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field. 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models. 8+ years of experience within a large/data-intensive multi-line business environment. Experience partnering with technology peers responsible for data architecture and distributed computing infrastructure/platforms. Ability to communicate complex technical concepts clearly to a variety of audiences. ML industry impact through conference presentations, papers, blog posts, or open source contributions. Ability to attract and develop high-performing software engineers with an inspiring leadership style. At this time, Capital One will sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Richmond, VA: $239,900 - $273,800 for Distinguished Machine Learning Engineer New York, NY: $287,800 - $328,500 for Distinguished Machine Learning Engineer McLean, VA: $263,900 - $301,200 for Distinguished Machine Learning Engineer Philadelphia, PA: $239,900 - $273,800 for Distinguished Machine Learning Engineer Wilmington, DE: $239,900 - $273,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. #J-18808-Ljbffr

Machine Learning Engineer

Wonder New York, NY

About Us Imagine: 30 unique restaurants to order from, brought to your door in under 30 minutes. That’s what our customers experience. At Wonder, we want to make world-class food within reach, no matter where you live. That’s why we’ve created a vertically integrated, new standard of dining that will allow you to enjoy menus from award-winning chefs and iconic restaurants across the country, all in one place. Our elevated brick + mortar locations will offer pick up and dine in options, as well as delivery to your home. As a food-tech startup backed by top-tier venture capitalists and led by a team of experienced entrepreneurs—including some of the most accomplished leaders in the technology, culinary, and logistics industries—we’re growing. Join us in pioneering a new category of dining called “Fast-Fine”, and revolutionizing the way people eat. About the role We’re looking for a Machine Learning Engineer to help build out our end-to-end AI/ML model development and deployment platform. As a Machine Learning Engineer on Wonder's Platform team, you will work on tooling and automation that supports the range of ML use cases across Wonder, including demand forecasting, supply chain planning, personalization, recommendations, and generative AI applications. Our team works with stakeholders from all over the company to solve complicated problems with cutting edge technology. Wonder strives to push the boundaries of what's possible, and our culture encourages continuous innovation and experimentation. Bring your knowledge and experience to our team culture, and influence it for the better! The experience you have Bachelor's or Master's degree in Computer Science or a related field. 3+ years of experience in software engineering, focused on delivering ML/AI solutions to production. Proven experience in implementing high-quality systems. Proficiency in Python, machine learning techniques and operations. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Excellent communication and interpersonal skills. Experience with public cloud infrastructure such as Azure, AWS, GCP. Nice to have: Experience in writing and debugging SQL queries. Experience with Airflow, Luigi, or similar data orchestration platforms. Active member of the open source or local tech community. The way you work Working closely with your product and engineering managers to design and build ML solutions that have a profound impact on the business. Code that is clean, well documented, and easy to iterate on. Eagerness to learn cross-functionally, not only within the ML domain but also within various business functions like Culinary, Operations, Consumer Product, Marketing, Finance, etc. Openness to both giving and receiving constructive feedback with the intention of bettering everyone involved. Thirst for learning and a passion for putting new technologies, processes and patterns into practice in a realistic manner. Ability to understand how the whole system fits together at both a high level as well as at a detailed level in the given area of responsibility and beyond. Benefits We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed. Base Salary Range: $210k #J-18808-Ljbffr

Best Match

Machine Learning Engineer

Tbwa Chiat/Day Inc New York, NY

EvolutionaryScale’s mission is to develop artificial intelligence to understand biology for the benefit of human health and society, through open, safe, and responsible research, and in partnership with the scientific community. Over the next ten years AI will transform biological design, making molecules and entire cells programmable. We will develop the foundation models for biology that enable this. To continue to move the field forward in this emerging area, we prioritize individuals who have shown excellence and creativity in their respective domains over specific domain expertise. Having both biology and AI expertise is great, but not a requirement. Our team does both deep research and product development, not only building the frontier biological AI models in the field but also putting them in the hands of the researchers at the forefront of the life sciences. This fundamentally requires elite engineers and scientists working together to solve big research and product challenges. We are building a world-class multi-disciplinary team spanning AI research, engineering, biology research, and business roles, which requires strong communication and collaboration across roles. The EvolutionaryScale team is based in two locations: San Francisco and New York. We believe in flexibility around work schedules and locations, but expect that our team members will work half of the days or more of most weeks from one of our two offices. The Role Contribute to the process of transitioning research to product by deploying models to production environments. Collaborate with researchers and engineers at the company’s partners (clients or academic partners) to deploy the company’s technology within their infrastructure. Be effective representatives of the company and our products to partners and other external collaborators. Manage artifact tracking for different fine-tuned models and data. Conduct data pipeline work including use of Apache Spark, Apache Arrow, Pandas, distributed computing for large-scale data processing. Help cultivate best practices in MLOps, and think about the full ML lifecycle, including data, fine-tuning, deployment, reliability, and monitoring. Work on simplification and improvement of codebase abstractions to accelerate research momentum. Possess the ability to execute complex modifications to the research pipeline, such as fast data loading and distributed training. Handle DevOps responsibilities, focused on making all engineers and researchers more productive. This includes tasks like cluster monitoring, unit testing and integration testing of research codebase, and continuous integration. Preferred Qualifications Experience with Pytorch or low-level programming is a plus. Experience with distributed computing frameworks like Apache Spark or Dask. Knowledge of cloud computing platforms like AWS, Google Cloud, or Azure. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. The salary range for this position is $150,000 to $350,000 per year, plus a competitive equity package. Compensation package will vary based on job-related skills, experience, and knowledge. The compensation package also includes comprehensive medical, dental, and vision benefits. Apply for this job * indicates a required field First Name * Last Name * Email * Phone Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Are you legally authorized to work in the United States? * Do you now or will you in the future require sponsorship to work in the U.S.? (e.g., H-1B visa status)? * When would you be available to start a new position? * Can you work at the specified job location? * New York City preferred Open to either No Could you provide the contact details of one or two colleagues, collaborators, or managers who could serve as references for your work? Take your time with this request if needed; we only call references after you pass the full interview panel. Feel free to email this to us later as well. #J-18808-Ljbffr

Machine Learning Engineer

Tagup New York, NY

At Tagup, we use machine learning to make the machines that power the world safer, more reliable, and more efficient. As a rapidly scaling AI/ML technology company, we are looking to expand our team. We are looking for skilled engineers who are interested in helping us scale and automate our infrastructure as we expand our customer base and process more data. As a Machine Learning Engineer, you will work closely with our deployment team to provide innovative analytics and software solutions for our customers. Your primary responsibilities will include building and maintaining various stages of our data processing workflow. This involves ingesting raw customer data, fine-tuning and deploying machine learning models, and presenting the results in client-facing web applications. Responsibilities Develop and deploy analytic models on industrial data Integrate new data sources into our data pipeline Build and maintain data processing and visualization tools Validate model performance and quantify value creation potential Co-author technical reports on data analysis and model performance Collaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be required Desired Skills You are highly technical and analytical, with 4+ years of machine learning experience You have experience building and managing large pieces of cloud infrastructure as code, using providers such as AWS, Azure, and GCP, with tools such as Chef, Terraform, Puppet, Ansible, CloudFormation, and SaltStack You possess strong skills in at least one modern programming language, such as Python (preferred), Ruby, JavaScript, or Java. You have experience with at least one type of datastore (MySQL, Postgres, InfluxDB, MongoDB) Bonus Points Experience with PyTorch Familiarity with Kubernetes and KubeFlow Background in time series analysis, Gaussian processes, hidden Markov models, and/or variational inference Direct experience working with enterprise customers Salary: $95,000 - $130,000 a year We offer a competitive salary and benefits package commensurate with experience and qualifications. We are committed to attracting and retaining top talent, and we believe in compensating our employees fairly for their contributions. As a fast-growing technology company, we offer all members of the team part-ownership through an Employee Stock Option Plan. We also offer health insurance benefits, access to the company 401K plan, and encourage a team-oriented work environment with regular company outings! Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. #J-18808-Ljbffr

Quick Apply

Machine Learning Engineer

Optimize Partners New York, NY

At Optimize Partners, we connect top talent with innovative companies, providing tailored staffing solutions that drive success for both our clients and candidates. Our client, a cutting-edge health-tech startup using AI to improve patient outcomes and transform healthcare delivery is looking to hire a Machine Learning Engineer to develop and deploy ML models to analyze medical data. The company focuses on data-driven AI solutions that assist healthcare providers in making more accurate and timely decisions. Responsibilities: Develop and deploy machine learning models to analyze medical data. Collaborate with data scientists and healthcare professionals to create AI-based solutions. Implement algorithms for predictive analytics, classification, and recommendation systems. Optimize models for scalability, accuracy, and performance. Stay up-to-date with the latest AI research and integrate innovative techniques into the platform. Qualifications: Strong proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks. Experience with medical data processing (structured and unstructured). Advanced understanding of machine learning algorithms and statistical analysis. Solid knowledge of data cleaning, transformation, and feature engineering. A degree in Computer Science, Engineering, Data Science, or a related field. Benefits: Competitive salary and equity options. Health, vision, and dental insurance. Flexible work schedule with remote work options. Opportunities to shape the future of healthcare with AI. 25 PTO days + 12 paid holidays off. Optimize Partners is an Equal Opportunity Employer. We are committed to diversity, inclusion, and equality in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability. #J-18808-Ljbffr

Machine learning engineer

Burjpremierdigital New York, NY

We are seeking a dynamic and results-driven (Remote-Job/Can be able to come on-site in future) Social Media Specialist to join our team. In this dual role, you will be responsible for both managing our social media presence and developing effective marketing strategies to enhance brand awareness, engagement, and conversion. The ideal candidate should have a strong understanding of social media platforms, excellent communication skills, and a passion for creating compelling content. Responsibilities: Social Media Management: Develop, implement, and manage social media strategies across various platforms (Facebook, Instagram, Twitter, LinkedIn, etc.) to align with marketing goals. Content Creation: Create engaging and relevant content, including graphics, videos, and copy, tailored for different social media platforms. Community Engagement: Monitor and respond to comments, messages, and inquiries on social media channels, fostering positive relationships with followers. Analytics and Reporting: Analyze social media performance metrics and prepare reports to track engagement, growth, and effectiveness of campaigns, providing insights for improvement. Campaign Development: Design and execute social media marketing campaigns to promote products, services, and brand initiatives, utilizing paid advertising when appropriate. Trend Monitoring: Stay updated with the latest trends, tools, and best practices in social media and digital marketing to continuously enhance our online presence. Collaboration: Work closely with cross-functional teams, including marketing, sales, and design, to ensure cohesive messaging and branding across all channels. Training and Development: Mentor and guide junior team members or interns in social media strategies and best practices. Requirements: Proven experience as a Social Media Specialist, Manager, or Marketer, with a strong portfolio of successful campaigns. In-depth knowledge of social media platforms and tools, including analytics and scheduling software (e.g., Hootsuite, Buffer). Excellent written and verbal communication skills, with a keen eye for detail and creativity. Strong analytical skills and experience with social media analytics to measure campaign effectiveness. Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment. Experience with graphic design tools (e.g., Canva, Adobe Creative Suite) is a plus. If you are passionate about social media marketing and eager to drive brand engagement and growth, we encourage you to apply. Join our team and help shape our online presence! #J-18808-Ljbffr

Work Life Balance

Machine Learning Engineer

Capgemini New York, NY

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Job Description Analyze large and complex datasets to derive actionable insights and inform business strategies. Develop and implement advanced machine learning models and algorithms. Collaborate with cross-functional teams to understand business needs and provide data-driven solutions. Communicate findings and recommendations to stakeholders and executive leadership. Stay updated with the latest trends and technologies in data science and machine learning. Qualifications Minimum of 2 years of experience in a data science role. Proficiency in programming languages such as Python or R. Strong understanding of machine learning techniques and algorithms. Preferred Qualifications Experience with modern ML frameworks such as PyTorch and TensorFlow. Experience with big data technologies such as PySpark. Experience with ML model training within cloud infrastructure such as Azure, AWS, or GCP. Proven track record of successfully deploying and optimizing ML models in a production environment. Excellent communication and visualization skills to effectively present data insights to non-technical stakeholders. Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Healthcare including dental, vision, mental health, and well-being programs. Financial well-being programs such as 401(k) and Employee Share Ownership Plan. Paid time off and paid holidays. Paid parental leave. Family building benefits like adoption assistance, surrogacy, and cryopreservation. Social well-being benefits like subsidized back-up child/elder care and tutoring. Mentoring, coaching, and learning programs. Employee Resource Groups. Disaster Relief. Salary Transparency Language: Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $103330 - $128656/yearly. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full-time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. #J-18808-Ljbffr

Machine Learning Engineer

Capgemini New York, NY

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Job Description Analyze large and complex datasets to derive actionable insights and inform business strategies. Develop and implement advanced machine learning models and algorithms. Collaborate with cross-functional teams to understand business needs and provide data-driven solutions. Communicate findings and recommendations to stakeholders and executive leadership. Stay updated with the latest trends and technologies in data science and machine learning. Qualifications Minimum of 2 years of experience in a data science role. Proficiency in programming languages such as Python or R. Strong understanding of machine learning techniques and algorithms. Preferred Qualifications Experience with modern ML frameworks such as PyTorch and TensorFlow. Experience with big data technologies such as PySpark. Experience with ML model training within cloud infrastructure such as Azure, AWS, or GCP. Proven track record of successfully deploying and optimizing ML models in a production environment. Excellent communication and visualization skills to effectively present data insights to non-technical stakeholders. Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Healthcare including dental, vision, mental health, and well-being programs. Financial well-being programs such as 401(k) and Employee Share Ownership Plan. Paid time off and paid holidays. Paid parental leave. Family building benefits like adoption assistance, surrogacy, and cryopreservation. Social well-being benefits like subsidized back-up child/elder care and tutoring. Mentoring, coaching, and learning programs. Employee Resource Groups. Disaster Relief. Salary Transparency Language: Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $103,330 - $128,656/yearly. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full-time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note : No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. #J-18808-Ljbffr

Quick Apply

Machine Learning Engineer

With Studios, Inc. New York, NY

Why be with company? We all know what a great neighborhood feels like. The sad reality is that every day, our neighborhoods are losing their character, authenticity, and sense of community. From Main Streets to Manhattan, our beloved local businesses are being pushed out at unprecedented rates, replaced with corporate brands or empty storefronts. America is losing its small business backbone — its diversity, energy, and competitive edge. All while there is a generational opportunity in commercial real estate directly ahead of us. We’ve been quietly and deliberately building withco to empower millions of small businesses to seize their opportunity to become their own landlords. And if we’re successful, we’ll have created not only the most financially impactful company of its time, but also neighborhoods that we’re proud to live in. Join our mission to make it exciting to be a small business owner in America. We've raised $30M+ from the world's best investors , including Founders Fund, Canaan, NFX, BoxGroup, and angels like Ken Chenault, Danny Meyer, Venus Williams, Kevin Durant, and more. Why we need you: As a Machine Learning Engineer, you’ll work directly with our CTO and CEO . Small businesses have been crushed by landlords and big businesses armed with superior data. That ends now. Your mission? Build the system that levels the playing field — arming America’s grittiest entrepreneurs with the data, insights, and strategies to not just compete but dominate. You’ll work closely with our engineering and investing teams to take their workflows and build out robust models to arm small businesses with tools that will help them use data to their advantage. What you'll do: Build the backbone. Design and develop our data model to support AI features in our digital app. Supercharge the experience. Leverage 1st and 3rd party real estate and business data to build analyses and models that enable small business owners to make the smartest real estate decisions possible. Build our recommendation engine. From finding the right space to most efficiently closing the transaction. What makes you a great fit: Data obsessed. You can take data from many sources and turn it into a cohesive system for recommendations and search. Technically brilliant. Peers see you as one of the most technically talented engineers they’ve worked with. ML pro. You have experience working with ML tooling and know when it’s time to leverage a logistic regression vs. a neural net. Our Culture While small business is for everyone, withco’s culture is not for everyone. In fact, it’s for a very, very, very small group. What makes our culture so special is how much we value accountability and clarity in how we work and curiosity and obsession in how we build. We have a disproportionate number of craftspeople, athletes, ex-founders, PhDs and scientists. Our Benefits We’re building withco to create generational wealth not only for small business builders, but also our team of builders. We endeavor to make this the most meaningful career experience of your life. In addition, we offer: Top decile all-in compensation for our stage Eligibility for carried interest in our real estate vehicles 100% company-paid medical, dental, and vision insurance A beautiful office in SoHo Unlimited PTO and WFH Paid parental leave 401(k), FSA/HSA, and commuter benefits Weekly team lunch and regular team events, always at a small business We’re proud to be an equal opportunity employer. We care about building a uniquely diverse, energetic, inclusive, and service-oriented team — one that understands, cares about, and represents the different small business communities we aim to serve. #J-18808-Ljbffr

Dynamic Environment

Machine Learning Engineer

222 New York, NY

We’re an early-stage startup working on building the future of social. We are not excited about a future where humans spend the majority of their day in a virtual world. By facilitating genuine human connections IRL, we're building a product that swings the pendulum in the other direction. We’re building the world’s first IRL social prediction model - trained on hundreds of thousands of points of unique human to human interaction data. We’re backed by a world-class set of investors including General Catalyst, Y Combinator (W23), Upfront Ventures, NEA, Jaegermeister, 1517 Fund, Cory Levy (Z Fellows), the Founder of Dropbox (Arash Ferdowsi), the Founder of On Deck (Julian Weisser) & more. What You'll Be Doing At 222: You will be joining 222 as the first ML-focused engineering hire - spearheading all things machine learning, data processing & pipelining, feature engineering, & data analysis. You Should Only Apply If: You’re passionate about solving the problem 222 is tackling and excited to use classic machine learning & LLMs to predict humans' social behavior. You have experience fine-tuning an LLM. You have experience working with and building ETL pipelines and preparing data for experimentation. You're comfortable building ML/data infrastructure and pipelines for experimentation, training, and deployment. You have trained applied ML models that are used in production. You have a strong stance on the ethics surrounding user psychology in social products. Regardless of personal experience, you’re excited about wearing different hats across machine learning, full-stack engineering, & architecture. Demonstrated history of building outside of work/school (projects/products, applications, music, art, etc.). You have experience in: Designing backend algorithms. You Should NOT Apply If: You don't have experience building web apps with React/Next.Js. You don't have experience with backend development using Python. You don't have experience with backend algorithm design. We are looking for: Full-stack engineer with extensive web and backend algorithms design experience. First principles thinking. History of building things from scratch. Strongly opinionated about our current social fabric and its future. What we are offering: 401K matching. Fully comped 222 experiences. Platinum PPO, 100% covered by the company, $0 annual deductible. A chance to join an early-stage startup backed by an incredible set of investors. The opportunity to work IRL with a tight-knit team of co-workers and friends. #J-18808-Ljbffr

Machine Learning Engineer

Abstract Ventures New York, NY

About Hedra: Hedra is a pioneering video foundation model company founded by former Stanford PhDs and backed by top investors at Index, A16Z, and Abstract Ventures. We're building a full-stack creation studio capable of control, emotion, and creative intelligence. We raised 10 million dollars in our seed round to revolutionize content creation. Our flagship product, the Character foundation model, launched in late June and garnered national attention , landing us on the top of Reddit (multiple times!) and Twitter. In early October we released Character-2 , which has already produced highly creative and viral content . Note: Hedra is not a 9-5 job, we’re a team of passionate individuals seeking to fundamentally change content and build a generational company together. You must be willing to work in-person in either NYC or SF. Summary: As our Machine Learning Engineer, you will build and manage the services and infrastructure that power and serve our models and the videos that they generate. You will combine best in class knowledge building backend services, maintaining our infrastructure as code, and deploying the models that power our services. You will work with passionate engineers and top researchers to build a truly disruptive and novel technology. We’re looking for full-time hires for our New York or San Francisco offices. Experience: Experience accelerating and deploying latent diffusion models, diffusion transformers, or state space models using best pytorch practices and tensorrt. Building out and scaling our cloud-based infrastructure (in AWS and Oracle clouds), leveraging Kubernetes (EKS), infrastructure as Code (Terraform). Experience developing/scaling pipelines, event streaming/processing in AWS, using tools such as SQS or Kafka. Startup Experience is a must — we work hard and build quickly. This is not a 9-5 nor weekday only job. Experience architecting and implementing REST APIs for distributed systems. Experience with k8s, docker, especially in the context of deploying machine learning models on nvidia hardware. At least 5 years of professional Python or Golang. Personality: Self-motivated and independent — able to set accurate timelines for development and deliver on them. Have an opinion and the experience to backup that opinion. Low ego, high patience, strong communication skills. Understand operational costs and overhead short and long term. Mission-driven — we are building something fundamentally disruptive and this reflects deeply in our company DNA. And most importantly, treat Hedra as your own and help shape the vision accordingly. Benefits: Competitive compensation and equity. 401k. Healthcare (Silver PPO Medical, Vision, Dental). Gym access (at our office). #J-18808-Ljbffr

Work Life Balance

Machine Learning Engineer

Tennr (YC W23) New York, NY

About Tennr: Today, when you go to your doctor and need to be referred to a specialist (e.g., for sleep apnea), your doctor sends a fax (yes, in 2024, 90% of provider-provider communication is a 1980s fax). These are often converted into 20+ page PDFs, with handwritten (doctor’s handwriting!) notes, in thousands of different formats. The problem is so complex that a person has to read it, type it up, and manually enter your information. Tennr built RaeLLM (7B—trained on 3M+ documents) to read these docs, talk to your doc to ensure nothing is missed, and text you to help schedule your appointment so you can get better, faster. Tennr is a NYC-based tech company that launched out of Y-Combinator and is backed by Lightspeed Venture Partners, Andreessen Horowitz, Foundation Capital, The New Normal Fund, and other top investors. Key Responsibilities Machine Learning Engineers at Tennr are expected to wear a variety of hats. In the role, you will be expected to do the following: End-to-end product development: architect, train, deploy, and monitor models that drive direct customer value across our product. Data processing and ML Ops: optimize scalable data processing pipelines in our platform and maintain machine learning infrastructure. Backend integration: design and maintain complex workflows that leverage machine learning to drive automation. Product evaluation: Collaborate with sales and customer success teams to respond to feedback from our customers and prospects. Custom models : Fine-tune LLMs and VLMs for medical document understanding tasks Qualifications 3+ years of experience (post BS/MS) in an ML research/engineering role Proven track record of building and maintaining scalable web applications, particularly in high-volume workflow automation and data processing. Experience integrating machine learning models into production environments Can efficiently translate open-ended problems into actionable solutions Familiarity implementing novel NLP research ideas and techniques. Prior publications in top conference journals is a plus. Prior experience in a startup environment is a plus. Evaluation Criteria Technical Proficiency: Your skill in full-stack development and contribution to our tech stack. Project Execution: Efficiency and quality in delivering projects within set timelines. Innovation and Contribution: Your ability to enhance our system with new ideas and improvements. Collaboration and Communication: Effectiveness in team collaboration and clarity in communication. Adaptability and Learning: Willingness to embrace new technologies and a commitment to continuous learning. #J-18808-Ljbffr

Machine Learning Engineer

Tbwa Chiat/Day Inc New York, NY

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. Our ML team is full of people with a shared love for the craft of software engineering, and for designing APIs and systems that are delightful to use. We’ll rely on your in-depth knowledge of the ML ecosystem and understanding of varying approaches — whether it’s neural networks, random forests, gradient-boosted trees or sophisticated ensemble methods — to aid decision-making so we apply the right tool for the problem at hand. Your work will also focus on enhancing research workflows to tighten our feedback cycles. Successful ML engineers will be able to understand the mechanics behind various modelling techniques, while also being able to break down the mathematics behind them. If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. While there isn’t a fixed list of qualifications we’re looking for, if you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. We're looking for someone with: Experience building and maintaining training and inference infrastructure, with an understanding of what it takes to move from concept to production A strong mathematical background; Good candidates will be excited about things like optimisation theory, regularisation techniques, linear algebra and the like A passion for keeping up with the state of the art, whether that means diving into academic papers, experimenting with the latest hardware or reading the source of a new machine learning package A proven ability to create and maintain an organised research codebase that produces robust, reproducible results while maintaining ease of use Expertise wrangling an ML framework – we're fans of PyTorch, but we'd also love to learn what you know about Jax, TensorFlow or others An inventive approach and the willingness to ask hard questions about whether we're taking the right approaches and using the right tools #J-18808-Ljbffr