Jobs for Cleaning Staff

Staff RN, Emergency Department, PRN, Nights

Triage Staffing New York, NY, New York County, NY; New York State

Triage Staffing is seeking a travel nurse RN ED - Emergency Department for a travel nursing job in New York, New York. Job Description & Requirements ~ Specialty: ED - Emergency Department ~ Discipline: RN ~ Start Date: 03/03/2025~ Duration: 13 weeks ~36 hours per week ~ Shift: 12 hours, nights ~ Employment Type: Travel Travel Nursing: Emergency Department New York Location: New York Start Date: 3/3/2025 Shift Details: 12H Days (12:00 AM-12:00 PM) 36 hours per week Length: 13 WEEKS Apply for specific facility details.ER RN Triage Medical Staff Jobs Job ID #63KQH7C6. Posted job title: Nursing: Emergency Department About Triage Staffing At Triage, we prefer to be real . Real about expectations—both ours and yours. Real about how a decision you make today could affect your tomorrows. Real about how compensation actually works. Real about how great—or grating—your next supervisor may be. Being real allows everyone at Triage to be ready . Ready to serve you with real honesty. So if that gig near the ocean is really no day at the beach, or that third shift comes with a second-class rate, we tell you. So you can be ready, too. We staff all five major divisions of acute care—nursing, lab, radiology, cardiopulmonary and rehab therapy, offering: - Competitive, custom pay packages - One point of contact for both travelers and facilities (per division) - A reliable recruiter who's got your back throughout your entire assignment - In-house compliance and accounting specialists - A clinical liaison team available 24/7 to offer medical and professional support and career development - A mentoring program that is run and managed by actual clinicians—yeah, you read that right - And more (because of course there’s more) Are we the biggest? No. Are we the best? That’s rather subjective, but we’re trying to be. Will we work like hell to get you as close to your idea of heaven as possible? Yes. Yes, we will. Benefits: Day One comprehensive, nationwide insurance plans for health, vision and dental and life—including a HSA option Day One 401(k) program with employer-matching contributions once eligible Facility cancelling protection—your time is money on and off-the-clock Guaranteed hours Weekly paychecks via direct deposit Earned vacation bonuses for time worked Paid holidays Employee assistance program (EAP)—your mental health is important, too Continuing education, certification and licensing reimbursement Workers comp—because accidents happen Top-rated professional liability insurance Company provided housing options Referral bonus—$750 in your pocket after they’ve completed a 13-week assignment

Immediate Start

Cleaning Staff

SoulCycle New York, NY

Studio cleaning and prepping, including cleaning of exercise equipment (bikes, weights), floors and mirrors. Common area cleaning, including front desk, lockers, retail shelves, office and hallways . Bathroom and changing room cleaning . Reports to M Cleaning, Staff, Team Lead, Studio Manager, Instructor, Education

Dynamic Environment

Staff Machine Learning Researcher

Alldus New York, NY

Staff Research Scientist Our client, a cutting-edge AI startup is seeking a Staff Research Scientist to advance state-of-the-art methodologies and drive impactful research that sets new benchmarks in the field of LLMs and Code Generation. As a fast-growing company backed by leading investors, we focus on developing AI systems capable of sophisticated data reasoning. Our team has a history of breaking new ground, including top leaderboard achievements and the filing of multiple foundational patents. In this role, you will be instrumental in driving research initiatives aimed at improving benchmarking and leaderboarding performance. Responsibilities Lead research projects that push the boundaries of model performance and set new standards in the field. Design, conduct, and analyze experiments to develop novel algorithms and enhance existing methodologies. Interpret research findings to inform and shape future projects. Stay abreast of the latest advancements in areas like LLM agents (e.g., MCTSr, STaR/Quiet-STaR, PRM) and incorporate cutting-edge methods into our research. Collaborate with product teams to transition research insights into production-ready solutions. Ideal Candidate Profile Passion for advancing the field and setting record-breaking benchmarks. Deep understanding of machine learning principles with a first-principles research approach. Proven track record in creating or improving machine learning methods. Proficient in Python and other relevant programming languages for ML research. Strong analytical, problem-solving, and communication skills with a team-oriented mindset. Experience with reinforcement learning, LLM fine-tuning, or RLHF is highly desirable. What You Can Expect An opportunity to play a pivotal role in a high-growth startups research and development. Access to key industry conferences, thanks to partnerships with leading academic research labs. Direct mentorship from seasoned industry leaders and advisors with experience scaling companies from early-stage to IPO. Benefits including comprehensive health, vision, and dental insurance, as well as flexible time off for vacations, sick days, and mental health. Work Arrangement Our team is primarily based in NYC, with most members working onsite several days a week. Relocation assistance is available. Remote work within the U.S. may be considered for exceptional candidates. Compensation for remote employees may be subject to New York State tax withholding. Equal Opportunity We are committed to fostering an inclusive environment where diversity is celebrated. We encourage individuals from all backgrounds to apply, even if they don't meet every requirement. If youre passionate about pushing the boundaries of AI research, we want to hear from you.

Staff Machine Learning Engineer

Intuit New York, NY

Come join Intuit as a Staff Machine Learning Engineer! In this role, you’ll work alongside data scientists and machine learning engineers to create AI-powered experiences. You’ll be expected to help conceive, code, and deploy models at scale using the latest industry tools. Important skills include creating data pipelines, developing and deploying models, and machine learning operations. Responsibilities Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. Build 'machine learning ready' feature pipelines. Partner with data scientists to understand, implement, refine and design machine learning and other algorithms. Run regular A/B tests, gather data, and draw conclusions on the impact of your models. Monitor and maintain production models. Work cross-functionally with product managers, data scientists, and product engineers, and communicate results to peers and leaders. Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver. Minimum Requirements BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience. 6+ years of experience. Knowledgeable with Data Science tools and frameworks (i.e., Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Knowledge of machine learning techniques (i.e., classification, regression, and clustering). Understand machine learning principles (training, validation, etc.). Knowledge of data query and data processing tools (i.e., SQL). Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning). Software engineering fundamentals: version control systems (i.e., Git, Github) and workflows, and ability to write production-ready code. Experience deploying highly scalable software supporting millions or more users. Experience with integrating applications and platforms with cloud technologies (i.e., AWS and GCP). Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users. #J-18808-Ljbffr

Staff Machine Learning Engineer

Tbwa Chiat/Day Inc New York, NY

At Angi, we have one simple mission: Get all your home service jobs done well. That’s how we’ve helped over 150 million homeowners care for their homes over the last 25+ years. Today, our network has grown to over 200,000 skilled local pros — and our platform has made it easier than ever to find the right one for your project, from repairs to renovations and everything in between. About the team Angi is seeking an exceptional Staff Machine Learning Engineer who can enable our transformation into a world-class online marketplace. The role is in our Data Science and Machine Learning team, tackling challenges such as homeowner-pro matching, search ranking, and using predictive models to optimize our product and consumer experience. This is a technical leadership role where you will apply state-of-the-art machine learning and AI techniques such as LLMs and neural rankers to both structured and unstructured data. In addition to developing models, we’re also looking for someone who can deploy them at large scale with low latencies to serve our customers dynamically. What you’ll do Model Development & Data Strategy: Lead development of machine learning models and algorithms to improve our search ranking and how we match consumers with pros. Success in these areas will impact user experience & engagement, retention, and conversion rates - critical metrics for business success. Model Deployment & MLOps: Implement robust MLOps practices to ensure the seamless deployment and scalability of machine learning models. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments. Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, data scientists, product managers, and designers to build scalable and high-impact machine learning systems. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems. Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced machine learning techniques from both industry and academia. Who you are You have a Master’s or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields). You have 7+ years of experience in data science & machine learning, with a focus on real-time ML models, ideally within the tech industry & marketplace environments. You are an expert in machine learning and deep learning, and have a good working knowledge of large language models. You have a proven track record of deploying highly impactful machine learning models into production environments. You are proficient in SQL and Python, and have experience with cloud ML solutions. You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Compensation and Benefits The salary band for this position ranges from $200,000 - $280,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living. This position will be eligible for a competitive year-end performance bonus & equity package. Full medical, dental, vision package to fit your needs. Flexible vacation policy; work hard and take time when you need it. Pet discount plans & retirement plan with company match (401K). The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world. Apply for this job * indicates a required field #J-18808-Ljbffr

Staff Machine Learning Engineer - Search

Warner Media, LLC. New York, NY

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Staff MLE - Content Recommendation Location: SF Bay Area, New York City, Seattle, LA About You: We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming apps. You will be in the unique role of acting as a leader who can work seamlessly with modeling and engineering teams and can build and contribute to architecting a system that serves millions of users worldwide. As an engineering leader, you are excited about working in an environment that fosters innovation via prototyping, development, experimentation and productionalization. You will bring the right balance between rapid feature iteration and building a common set of platforms and tools to move quickly in the future. Responsibilities: Architect, build and scale a recommendation system that powers a state of the art search & personalization experience to users across Max, HBO, Discovery+ and other WBD offerings Collaborate with other ML/Ops engineers to develop and improve core components, infrastructure and architecture to train, deploy and serve models at scale Collaborate with data scientists, engineers, product teams and other key stakeholders and drive ML projects from conception to completion Use and build upon open-source cloud computing technologies Participate and support engineering leaders in strategic planning and demonstrate good judgment in setting and delivering against strategic goals for the team Mentor, influence engineers across organizations and lead by example with high quality examples of your work at the organization level Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers Requirements: 8+ years of industry experience, with 4+ years as tech lead experience (preferred) Deep practical knowledge of large-scale recommender systems, or large scale ML ranking/retrieval/targeting systems Knowledge of large-scale distributed application architecture, design, implementation and performance tuning Good practical knowledge in modern machine learning lifecycle. 5+ years of programming experience using Python/Java with ability to rapidly prototype ideas and refine towards production. Ability to drive roadmap and directions of scalable production quality systems end-to-end. Excellent written and verbal communications skills, be comfortable presenting to large audiences Advanced degree (M.S., or Ph.D.), or equivalent industry experience in software engineering, computer science, machine learning or related fields Experience with one of the cloud platforms AWS/GCP/Azure Experience with CI/CD tools like GitHub Actions, Jenkins etc How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. If you’re a qualified candidate and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at [email protected]. #J-18808-Ljbffr

Staff Machine Learning Engineer

Rippling New York, NY

About RipplingRippling is the first way for businesses to manage all of their HR & IT—payroll, benefits, computers, apps, and more—in one unified workforce platform.By connecting every business system to one source of truth for employee data, businesses can automate all of the manual work they normally need to do to make employee changes. Take onboarding, for example. With Rippling, you can just click a button and set up a new employees’ payroll, health insurance, work computer, and third-party apps—like Slack, Zoom, and Office 365—all within 90 seconds.Based in San Francisco, CA, Rippling has raised $1.2B from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.About the RoleWe are seeking a highly skilled and experienced Staff+ Machine Learning Engineer to join our team. As an engineer working on large language models (LLMs) at Rippling, you will work closely with product teams to build tools that people use. The work is necessarily cross-functional, and successful individuals on our team have an unusually high degree of ownership. Your expertise will contribute to the advancement of our organization's machine learning capabilities and drive innovation in our products and services.What you will doCollaborate with cross-functional teams to translate business requirements into models.Design and develop scalable machine learning pipelines for data preprocessing, feature engineering, model training, and evaluation. You will work with data engineers to collect and preprocess data sets for model training.Implement models in our production code base (primarily Python, Go).Stay up-to-date with the latest research in ML and related fields, and apply this knowledge to improve Rippling products.QualificationsPh.D. or equivalent in Computer Science, Engineering, Mathematics, or related field AND 5 or more years full-time Software Engineering work experience; OR5 years full-time Software Engineering work experience, which includes 4+ years of software engineering experience in one or more of the following areas: advertising, recommendation systems, risk/fraud modeling, or natural language processing.Comfortable with hands-on programming (eg, Python, Go, Java, C/C++)Ability to communicate complex technical ideas with clarity and precision.Additional QualificationsExperience with developing things that use large language models (LLMs) and familiarity with pre-training and fine-tuning techniques.Additional InformationRippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email [email protected] highly values in-office collaboration. Employees living within 30 miles of an office are expected to work onsite three days a week with those living 30-49.9 miles away expected to be in the office one day a week. Employees living over 50 miles away are required to relocate within 30 miles of an office. To enhance team cohesiveness, new employees are asked to work onsite three days a week for their first six months.This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below..css-enzntz{padding-top:24px;}.css-19n7xxk-Body2Element{font-weight:normal;margin:0;padding:0;font-family:"ripplingFontMedium";font-size:15px;letter-spacing:0.25px;line-height:22px;display:block;}The pay range for this role is:.css-7sh15b-Body1Element{font-weight:normal;margin:0;padding:0;font-family:"ripplingFontLight";font-size:15px;letter-spacing:0.5px;line-height:22px;display:block;}180,000 - 315,000 USD per year (US Tier 1).css-1jugqli{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:flex-start;-webkit-box-align:flex-start;-ms-flex-align:flex-start;align-items:flex-start;}.css-1jugqli:not(:last-child){margin-bottom:24px;}@media (max-width:768px){.css-1jugqli:not(:last-child){margin-bottom:8px;}}.css-6ewmrs-StyledIcon{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;font-size:24px;-webkit-transition:all 0.1s;transition:all 0.1s;box-sizing:border-box;line-height:1;letter-spacing:normal;}.css-6ewmrs-StyledIcon:before{font-weight:normal;content:"\e96e";font-family:RipplingIconsKit;height:1em;width:1em;}.css-6ewmrs-StyledIcon:focus:not(:focus-visible){outline:none;}.css-6ewmrs-StyledIcon:focus-visible{outline-color:#6098F8;outline-width:2px;outline-style:auto;}.css-nyz2ti-Body2Element{font-weight:normal;margin:0;padding:0;font-family:"ripplingFontMedium";font-size:15px;letter-spacing:0.25px;line-height:22px;display:block;margin-left:10px;}Engineering.css-f1lznh-StyledIcon{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;font-size:24px;-webkit-transition:all 0.1s;transition:all 0.1s;box-sizing:border-box;line-height:1;letter-spacing:normal;}.css-f1lznh-StyledIcon:before{font-weight:normal;content:"\e924";font-family:RipplingIconsKit;height:1em;width:1em;}.css-f1lznh-StyledIcon:focus:not(:focus-visible){outline:none;}.css-f1lznh-StyledIcon:focus-visible{outline-color:#6098F8;outline-width:2px;outline-style:auto;}San Francisco, CANew York, NY

Senior Staff Machine Learning Engineer

Warner Bros. Discovery New York, NY

Welcome to Warner Bros. Discovery... the stuff dreams are made of. Who We Are... When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next... From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN. To see what it's like to work at CNN, follow @WBDLife on Instagram and X! About the Team The Machine Learning team at CNN Digital is dedicated to research, build and evaluate Machine Learning and AI capabilities at CNN. The team is comprised of talented ML Engineers, Data Scientists and ML Platform Engineers. Our current production ML products include Article recommendations, Video recommendations, Related Content recommendations, and Search - serving millions of CNN users via CNN web and mobile apps. The team is also leading the exploration and evaluation of Generative AI for CNN use-cases. Our commitment to using state-of-the-art tools and methods ensures we stay at the forefront of technological innovation. About the Job/ Responsibilities As a Sr. Staff Machine Learning Engineer on the CNN Machine Learning & Science Team, you will - Lead the design, research, modeling, engineering, and evaluation of ML models and systems at CNN. - Use and build upon open-source Machine Learning models/ projects/ research papers in Natural Language Processing (NLP), Embeddings, Recommendation systems, Ranking systems, and more. - Lead the exploration, evaluation, prompt-engineering and fine-tuning of Large Language Models (LLMs) for CNN use-cases. - Proactively counsel cross-functional Engineering and Product leaders in strategic planning and demonstrate good judgment in setting and delivering strategic goals for the team. - Collaborate with ML Platform engineers and leaders to improve model training, deployment and inference at scale. - Author, test, review, and optimize production-level code while executing best practices in version control and code integration. - Mentor and influence engineers across organizations and lead by example with your work. - Collaborate with data scientists, engineers, product teams, editorial teams and other key stakeholders and drive ML projects from business problem to completion. - Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers. The Essentials - Advanced degree (M.S., or Ph.D.), in computer science, machine learning or related technical fields. - 8+ years of industry experience, with 6+ years of relevant machine learning experience. - Experience as a tech lead driving large projects from idea to production while working with a wide set of stakeholders. - 6+ years of programming experience with Python, Go, Java or similar. - Experience in Machine Learning, NLP, Recommendation/ Ranking Systems/ Search and applying these techniques at scale. - Experience with ML packages such as PyTorch, Tensorflow, and Scikit-Learn. - Experience with SQL and database systems such as Snowflake and DynamoDB - Experience in the training, evaluation, productionalization, tuning and monitoring of ML solutions at scale. - Experience designing and running A/B tests at scale. - Excellent written and verbal communications skills, be comfortable presenting to large audiences The Nice to Haves - Experience using Large Language Models such as Mistral or Llama in research and production environments. - Published research papers on NLP, Recommendation/ Ranking Systems, Search. How We Get Things Done... This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $159,600.00 - $296,400.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation. If you're a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Residential Cleaning - Commercial Cleaning Technician

New Beginning Cleaners LLC - Brooklyn New York, NY

Job Description Job Description New Beginning Cleaners in Brooklyn, NY is calling all energetic go-getters to apply to join our amazing team of cleaners as a full-time or part-time Residential Cleaning - Commercial Cleaning Technician ! WHY YOU SHOULD JOIN OUR TEAM OF CLEANERS We are an established company that supports our employees and offers career growth opportunities . We pay our entry-level Residential Cleaning - Commercial Cleaning Technicians a competitive wage of $16.50 per hour . Our full-time employees enjoy robust benefits and perks , including bonuses, incentives, paid time off (PTO), dental, vision, accident, hospital, critical illness, and disability. Additionally, we provide our cleaners with all necessary supplies, paid training, and a week's notice on scheduling . Plus, we make it easy to apply to this entry-level job with our initial quick mobile-optimized application . If we have your attention, please continue reading! ABOUT NEW BEGINNING CLEANERS New Beginning Cleaners is a one-stop shop that efficiently provides residential, commercial, and post-construction cleaning services. We commit ourselves to continuing customer satisfaction, demonstrating integrity, and staying up to date on the latest products and equipment. Our mission is to provide our clients with top-notch services that improve their quality of life in their homes and workspaces. We want every customer to have a space that is clean, healthy, and allows them a new beginning! Our team is thorough, driven, and committed. In return, we treat our employees with the utmost respect as well as reward their efforts. In addition to our robust benefits and perks , we take pride in our open communication style and team-oriented environment. ARE YOU A GOOD FIT? Ask yourself: Do you enjoy providing top-notch customer service? Are you attentive to detail and organized? Do you have a desire to learn and grow? Are you flexible and willing to help out where needed? Do you take pride in your work and have the desire to go above and beyond? Are you friendly and able to easily establish a good rapport with people? If so, please consider applying for this entry-level position today! YOUR LIFE AS A RESIDENTIAL CLEANING - COMMERCIAL CLEANING TECHNICIAN This part-time position has the potential to become full-time within 30 days of employment . Day shifts or night shifts are available. As a full- or part-time Residential Cleaning - Commercial Cleaning Technician, you are at the front line of who we are and what we do as a company. Whether working alone or on a crew, you arrive for your shift ready to get to work. You enjoy "getting in the zone" and working efficiently as well as being friendly with coworkers. Whether it's dusting, vacuuming, mopping, pulling the trash, disinfecting surfaces, or replenishing supplies, you get great satisfaction out of checking tasks off while physically seeing what you've accomplished. You always keep your equipment organized and in good working order, requesting supplies before you run out of stock. We have a reputation for quality work, and you take pride in your contribution to exceeding our customers' expectations! WHAT WE NEED FROM YOU Professional cleaning experience Basic English proficiency Able to efficiently use the train/bus system or have another reliable source of transportation to and from work Willingness to occasionally work at multiple locations Ability to commit to scheduled work times If you can meet these requirements and perform this entry-level job as described above, we would be happy to have you as part of our amazing team of cleaners either full- or part-time! Location: 11201 Job Posted by ApplicantPro

Staff Accountant

Robert Half New York, NY

Job Description Job Description We are providing a short term contract employment opportunity for a Staff Accountant in the technology industry. The position is based in New York, 10018, United States, and involves various accounting duties in a dynamic workplace. Responsibilities: • Handling Accounts Payable (AP) functions with accuracy and efficiency • Conducting monthly and yearly closing processes • Performing account reconciliation tasks to ensure financial accuracy • Utilizing Oracle Fusion for various accounting operations • Employing Microsoft Excel for data analysis and financial reporting • Monitoring and maintaining accurate customer credit records• Proficiency in Accounts Payable (AP) processes • Experience with Month End Close procedures • Familiarity with Year End Closings • Ability to perform Account Reconciliation tasks • Knowledge of Oracle Fusion software • Proficiency in Microsoft Excel

Staff Accountant

LHH Recruitment Solutions New York, NY

Job Description Job Description LHH Recruitment Solutions is working with one of our clients to fill a temp to hire Staff Accountant position in New York, NY. If you are looking for your next opportunity to provide the following skills to a great organization, apply now for immediate consideration Reconciling accounts and preparing journal entries Preparing and analyzing financial statements Managing fixed assets and prepaid schedules Qualifications Accounting degree required Strong technical skills Previous experience preparing month-end financials $30-35/hr Pay Details: $30.00 to $35.00 per hour Search managed by: Shoshana Ronen Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Equal Opportunity Employer/Veterans/Disabled To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate -privacy The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers San Francisco Fair Chance Ordinance

Staff Accountant

Robert Half New York, NY

Job Description Job Description A rapidly growing Software company is currently looking for a talented Staff Accountant to join their team. Responsibilities of this position will include: - Performing account reconciliations - Supporting general ledger maintenance - Preparing journal entries and assisting with month end close - Updating cash tracker for AP, AR, and Treasury teams - Support budgeting, forecasting, and variance analysis - Assisting with periodic audits by preparing the necessary documents and schedules - Participating in special projects and ad-hoc requests as required. For immediate consideration for this position please contact Ben.Turnbull@roberthalf. - Bachelor’s degree in Finance, Accounting or related - 2+ years of experience - Strong US GAAP knowledge - Advanced MS Excel skills - NetSuite experience is a plus

Staff Accountant

Robert Half New York, NY

Job Description Job Description We are seeking a diligent Staff Accountant to join our team in a non-profit organization located in New York. As a Staff Accountant, your responsibilities will include managing and analyzing our general ledger, preparing and posting journal entries, overseeing month-end close processes, and supervising both accounts payable and receivable. This role also involves bank reconciliations and assisting with the preparation of schedules and collation of items for reports. Responsibilities • Manage and analyze the general ledger to ensure accuracy in financial information • Prepare and post journal entries to keep our financial records up-to-date • Oversee the month-end close processes to ensure timely financial reporting • Handle accounts payable and receivable to keep track of the organization's cash flow • Perform bank reconciliations to ensure accuracy in our financial records • Assist in preparing schedules and collating items for reports to support the organization's decision-making process • Maintain files and accounts to ensure easy retrieval and reference of financial information • Take on ad hoc projects as assigned to support the financial management of the organization • Utilize specific accounting software and Excel to effectively perform your accounting tasks.• Minimum of 3 years of experience in a Staff Accountant role or similar position • Proven expertise in Accounts Payable (AP) and Accounts Receivable (AR) • Experience performing Bank Reconciliations • Knowledge and understanding of General Ledger • Proficiency in creating and managing Journal Entries • Experience in executing Month End Close procedures • Familiarity with NetSuite software • Proficiency in using Great Plains Dynamics software • Prior experience in the Non-Profit industry is preferred but not required • Bachelor's degree in Accounting, Finance, or a related field is advantageous • Strong analytical skills and attention to detail • Excellent written and verbal communication skills • Ability to work independently and as part of a team

Cleaning Crew

Crystalcleanerz New York, NY

Job Description Job Description Crystal Cleanerz is looking for team members! If you are quality-oriented, efficient, have a positive attitude and great attendance, we have a fast-growing, fun work environment, full time employment, and opportunity for advancement waiting for you. We offer: •The Highest Pay in the Area •Earn up to 800+ per week. $20+ per hour to start for residential and commercial cleaning experience. •Full time and part time employments are available. •No Cleaning Experience- No Problem. We provide extensive training if you meet all other qualifications. •Bonus •Tips •Get paid to get a great workout every day! •We offer career development and growth •Career path quickly leading to more responsibility and higher pay ---- Requirements: •Personal vehicle with current insurance and valid US driver's license •Clean national background check and driving history •Stable work history •Customer service experience a plus •Must be at least 21 years of age •Must be available to work on call If this sounds like you, please send an email response to this ad with a resume or brief summary of your work experience. We look forward to hearing from you! Job Type: Full-time and Part-time Pay: $800+ per week ---- Supplemental Pay: •Tips ---- License/Certification: •Driver's License & Reliable trasportation (Required) ***************** ¡Crystal Cleanerz está buscando miembros para su equipo! ¿Eres una persona orientada a la calidad, eficiente, con una actitud positiva y excelente asistencia? Tenemos un entorno laboral divertido y en rápido crecimiento, empleo a tiempo completo y oportunidades de avance esperándote. Lo que ofrecemos: • El mejor salario de la zona: Gana hasta $800+ por semana o $20+ por hora si tienes experiencia en limpieza residencial o comercial. • Empleos a tiempo completo y parcial disponibles. • ¿Sin experiencia en limpieza? ¡No hay problema! Ofrecemos capacitación extensa si cumples con las demás calificaciones. • Bonos y propinas. • ¡Te pagamos por mantenerte activo cada día! • Oportunidades de desarrollo profesional y crecimiento. • Un plan de carrera que rápidamente lleva a más responsabilidades y un mejor salario. ---- Requisitos: • Vehículo personal con seguro vigente y licencia de conducir válida en EE. UU. • Antecedents y historial de manejo limpios. • Historial laboral estable. • Experiencia en servicio al cliente (es una ventaja). • Tener al menos 21 años de edad. • Disponibilidad para trabajar en turnos de guardia. Si esto suena como lo que buscas, envía un correo electrónico con tu currículum o un resumen de tu experiencia laboral. ¡Esperamos saber de ti! ---- Tipo de trabajo: Tiempo completo y parcial. Pago: $800+ por semana. Pago adicional: Propinas y Bonos. ---- Licencia/Certificaci ón requerida: Licencia de conducir válida y transporte confiable. Job Posted by ApplicantPro

Cleaning Tech

eMaids of NYC New York, NY

Job Description Job Description Benefits: Flexible schedule Opportunity for advancement Paid time off Training & development WE ARE LOOKING FOR CLEANING TECHS! eMaids is searching for real professionals who are dedicated to their work, enjoy cleaning, and place a high priority on providing excellent customer service. We ask that you carefully read the advertisement to ensure that both of us will be satisfied. Visit our website at https://emaidsinc.com/new -york-city/ to find out more about us. This job requires working in more than one area, you must feel at ease doing so. WHY WORK AT eMaids? A competitive salary Weekends and workdays Earn between $16 and $19 an hour.. Paid training from the start Excellent chance for advancement Excellent office assistance Paid weekly; eligible for direct deposit All cleaning supplies and tools are offered. RESPONSIBILITIES Delivering high-quality cleaning services to our client's residential or business premises will be part of your employment duties. Apartment and home cleaning Office janitorial Airbnb This calls on you to use our allergy-free cleaning supplies and adhere to our checklist. THE APPLICANT MUST Possess six months to one year of cleaning experience As this job requires working in more than one area, you must feel at ease doing so. A working knowledge of public transportation willing to take a background check Smartphone is a must Dependable and cooperative Write and speak English (Though fluency is not required) Working Legally in the U.S. Do you think you could accomplish this? Apply online, and we'll contact you right away to arrange an interview. Please be serious about joining our team and be prepared to start straight away. Full-time, part-time, and contract jobs available Pay: $16.00 to $19.00 p/hour

High salary

Cleaning Technicians

Bloxx Financial New York, NY

Job Description Job Description We are HōM Pro, One of the Faster Growing Home Services Providers in New York Headquartered in the World Trade Center. We specialize in Cleaning/Maintenance (Cleaning, Pet Services, Landscaping) Home Improvement (Remodeling, Construction), and of course Energy Efficiency (Solar, SmartHome) Today we are speaking to you about our Cleaning Division. What we’ve done due to our rapid growth is start an Entry Level Management Training Program to meet this expansion. Currently we are looking for 5-7 Managers here in New York then growing out to 10 Cities next year which will all be paid for and licensed by HōM Pro. So basically creating a solid team + and business mindsets is what we are looking for. As part of our 18 month training period, we are looking for the most motivated candidates who can be consistent, reliable, learn our system and deliver great results. We are looking for the ambitious. We are looking for YOU! The position of Cleaner/Maid/Janitor involves performing a variety of cleaning and maintenance tasks to ensure a clean, safe, and orderly environment. This role typically includes responsibilities such as sweeping, mopping, vacuuming, dusting, and disinfecting various areas. The Cleaner/Maid/Janitor is responsible for maintaining cleanliness in accordance with established standards and procedures. Key Responsibilities: Cleaning and Sanitizing: Perform general cleaning tasks, including dusting, sweeping, mopping, vacuuming, and disinfecting surfaces, to maintain a clean and hygienic environment. Waste Management: Collect and dispose of trash, recyclables, and hazardous materials in designated containers, following proper waste management protocols. Restroom Maintenance: Clean and sanitize restrooms, including toilets, sinks, mirrors, and floors. Replenish supplies such as toilet paper, soap, and paper towels as needed. Floor Care: Clean, mop, and polish floors using appropriate cleaning solutions and equipment. This may involve operating floor buffers, carpet cleaners, and other floor maintenance machinery. Window and Glass Cleaning: Clean windows, glass surfaces, and mirrors using appropriate cleaning agents and tools. Maintenance of Common Areas: Ensure cleanliness and tidiness in common areas such as lobbies, hallways, stairways, and elevators by regularly removing dirt, debris, and other obstructions. Furniture and Fixture Cleaning: Dust and clean furniture, fixtures, and other equipment using suitable cleaning materials. Stock and Inventory Management: Maintain cleaning supplies, equipment, and inventory levels. Report shortages or damaged items to the supervisor. Compliance with Safety Standards: Follow all safety protocols and guidelines to ensure a safe working environment for oneself and others. Properly handle and store cleaning chemicals and equipment. Reporting and Communication: Report any maintenance or repair needs to the appropriate personnel. Communicate effectively with supervisors and team members regarding job-related tasks and updates. Qualifications and Skills: High school diploma or equivalent preferred. Proven experience in cleaning, janitorial, or related roles is a plus. Knowledge of cleaning techniques, tools, and materials. Familiarity with safety protocols and practices related to cleaning and maintenance. Ability to follow instructions and work independently or as part of a team. Strong attention to detail and time management skills. Physical stamina and ability to perform repetitive tasks, lift heavy objects, and work in various weather conditions. Excellent communication and interpersonal skills. Note: The job description provided above is a general outline and may vary depending on the specific requirements and responsibilities of the organization or employer. Requirements Qualifications and Skills: High school diploma or equivalent preferred. Proven experience in cleaning, janitorial, or related roles is a plus. Knowledge of cleaning techniques, tools, and materials. Familiarity with safety protocols and practices related to cleaning and maintenance. Ability to follow instructions and work independently or as part of a team. Strong attention to detail and time management skills. Physical stamina and ability to perform repetitive tasks, lift heavy objects, and work in various weather conditions. Excellent communication and interpersonal skills. Benefits IRA, Medical, Dental, Vision, and Company Car

Staff Machine Learning Engineer

Intuit Inc New York, NY

Overview Come join Intuit as a Staff Machine Learning Engineer! In this role, you’ll work alongside data scientists and machine learning engineers to create AI-powered experiences. You’ll be expected to help conceive, code, and deploy models at scale using the latest industry tools. Important skills include creating data pipelines, developing and deploying models, and machine learning operations. What you'll bring BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience. 6+ years of experience Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Knowledge of machine learning techniques (i.e. classification, regression, and clustering). Understand machine learning principles (training, validation, etc.) Knowledge of data query and data processing tools (i.e. SQL) Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning). Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. Experience deploying highly scalable software supporting millions or more users Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP) Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users How you will lead Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. Build "machine learning ready" feature pipelines. Partner with data scientists to understand, implement, refine and design machine learning and other algorithms. Run regular A/B tests, gather data, and draw conclusions on the impact of your models. Monitor and maintain production models. Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders. Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is New York $191,000 – 258,500, Bay Area California $191,000 – 258,500, Southern California $180,000 – 243,500. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits) (https://www.intuit.com/careers/benefits/full-time-employees/) . Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

Senior Staff Machine Learning Engineer

Rippling New York, NY

About RipplingRippling is the first way for businesses to manage all of their HR & IT—payroll, benefits, computers, apps, and more—in one unified workforce platform.By connecting every business system to one source of truth for employee data, businesses can automate all of the manual work they normally need to do to make employee changes. Take onboarding, for example. With Rippling, you can just click a button and set up a new employees’ payroll, health insurance, work computer, and third-party apps—like Slack, Zoom, and Office 365—all within 90 seconds.Based in San Francisco, CA, Rippling has raised $1.2B from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Bedrock, and Greenoaks—and was named one of America’s best startup employers by Forbes.We prioritize candidate safety. Please be aware that official communication will only be sent from @Rippling.com addresses.About the RoleWe are seeking a highly skilled and experienced Senior Staff Machine Learning Engineer to join our team. As an engineer working on large language models (LLMs) at Rippling, you will work closely with product teams to build tools that people use. The work is necessarily cross-functional, and successful individuals on our team have an unusually high degree of ownership. Your expertise will contribute to the advancement of our organization's machine learning capabilities and drive innovation in our products and services. What you will doCollaborate with cross-functional teams to translate business requirements into models.Design and develop scalable machine learning pipelines for data preprocessing, feature engineering, model training, and evaluation. You will work with data engineers to collect and preprocess data sets for model training.Implement models in our production code base (primarily Python, Go).Stay up-to-date with the latest research in ML and related fields, and apply this knowledge to improve Rippling products.QualificationsPh.D. or equivalent in Computer Science, Engineering, Mathematics, or related field AND 6 or more years full-time Software Engineering work experience; OR10 years full-time Software Engineering work experience, which includes 4+ years of software engineering experience in one or more of the following areas: advertising, recommendation systems, risk/fraud modeling, or natural language processing.Comfortable with hands-on programming (eg, Python, Go, Java, C/C++) Ability to communicate complex technical ideas with clarity and precision.Additional QualificationsExperience with developing things that use large language models (LLMs) and familiarity with pre-training and fine-tuning techniques.(This job description was written with an assist from ChatGPT)Additional InformationRippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email [email protected] highly values in-office collaboration. Employees living within 30 miles of an office are expected to work onsite three days a week with those living 30-49.9 miles away expected to be in the office one day a week. Employees living over 50 miles away are required to relocate within 30 miles of an office. To enhance team cohesiveness, new employees are asked to work onsite three days a week for their first six months.This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below..css-enzntz{padding-top:24px;}.css-19n7xxk-Body2Element{font-weight:normal;margin:0;padding:0;font-family:"ripplingFontMedium";font-size:15px;letter-spacing:0.25px;line-height:22px;display:block;}The pay range for this role is:.css-7sh15b-Body1Element{font-weight:normal;margin:0;padding:0;font-family:"ripplingFontLight";font-size:15px;letter-spacing:0.5px;line-height:22px;display:block;}198,000 - 346,500 USD per year (US San Francisco Bay Area).css-1jugqli{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:flex-start;-webkit-box-align:flex-start;-ms-flex-align:flex-start;align-items:flex-start;}.css-1jugqli:not(:last-child){margin-bottom:24px;}@media (max-width:768px){.css-1jugqli:not(:last-child){margin-bottom:8px;}}.css-6ewmrs-StyledIcon{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;font-size:24px;-webkit-transition:all 0.1s;transition:all 0.1s;box-sizing:border-box;line-height:1;letter-spacing:normal;}.css-6ewmrs-StyledIcon:before{font-weight:normal;content:"\e96e";font-family:RipplingIconsKit;height:1em;width:1em;}.css-6ewmrs-StyledIcon:focus:not(:focus-visible){outline:none;}.css-6ewmrs-StyledIcon:focus-visible{outline-color:#6098F8;outline-width:2px;outline-style:auto;}.css-nyz2ti-Body2Element{font-weight:normal;margin:0;padding:0;font-family:"ripplingFontMedium";font-size:15px;letter-spacing:0.25px;line-height:22px;display:block;margin-left:10px;}Engineering.css-f1lznh-StyledIcon{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;font-size:24px;-webkit-transition:all 0.1s;transition:all 0.1s;box-sizing:border-box;line-height:1;letter-spacing:normal;}.css-f1lznh-StyledIcon:before{font-weight:normal;content:"\e924";font-family:RipplingIconsKit;height:1em;width:1em;}.css-f1lznh-StyledIcon:focus:not(:focus-visible){outline:none;}.css-f1lznh-StyledIcon:focus-visible{outline-color:#6098F8;outline-width:2px;outline-style:auto;}San Francisco, CANew York, NY

Cleaning Staff, NoHo

SoulCycle New York, NY

We’re purpose-driven. With every ride, we aim to redefine health and happiness. It’s all about being more than a workout: SoulCycle is a mind-body-soul experience, built on community, love, respect, acceptance, and a lot of fun. It comes to life through the ride, the relationships, and the unparalleled hospitality. And all of that comes from our people. Join us—we’d love to have you. Our Mission To foster an open, diverse, & inclusive community—while embracing each unique individual exactly as they are. We empower each other by listening with an open mind, finding ways to learn and grow together, and always nurturing a sanctuary of trust. To make a real, lasting impact, we’ll work nonstop to embrace and create change. Because nobody is equal until everyone is equal. Job Description We are seeking passionate, service-oriented, positive, hard-working and experienced cleaning professionals to join our team! Responsibilities: Studio cleaning and prepping, including cleaning of exercise equipment (bikes, weights), floors and mirrors. Common area cleaning, including front desk, lockers, retail shelves, office and hallways. Bathroom and changing room cleaning. Reports to MOD-Team Lead and Studio Manager. Reports any questions, issues, etc. to MOD, MOD Team Lead and Studio Management. Checks the Cleaning Clip board daily when arriving to the studio for each shift and reviews all announcements. Qualifications Excellent cleaning skills - Must possess a clear understanding of what constitutes a clean and sanitary environment. Ability to service athletic equipment along with previous experience working with cleaning products and hand tools. Detail oriented and thorough. Ability to take direction well. Friendly, personable & must have a great attitude. Excellent organizational skills. Dependable and reliable. Must have the flexibility to work a non-traditional schedule - MUST HAVE WEEKEND, HOLIDAY AND SOME EARLY MORNING/MIDDAY/LATE EVENING WEEKDAY AVAILABILITY. Pay Transparency: $16.00/hr Physical Requirements: Must be able to work in a fast paced environment. Must be able to kneel, bend, reach, climb and stand for long durations of time. Must be able to lift/carry a minimum of 30lbs. #J-18808-Ljbffr

Immediate Start

Senior Staff Machine Learning Engineer

Warner Media, LLC. New York, NY

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Senior Staff MLE, Search & Personalization About Warner Bros. Discovery Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com Roles & Responsibilities We are looking for a passionate Senior Staff Machine Learning engineer to support, build and scale the personalization and search platforms for the global streaming app Max as well as ongoing and future streaming initiatives. You are excited about working in a fast-moving environment that fosters engineering and operational excellence with continuous development, deployment, experimentation, quality assurance, and collaboration. You will bring an obsession with our customers along with skills for rapid feature iteration. In your role, you will be working in a team of passionate machine engineers and applied researchers contributing to a system that serves 100+ million users worldwide. Architect, build and scale a recommendation system that powers a state of the art search & personalization, and machine learning experience to users across Max, HBO, Discovery+ and other WBD offerings. Influence and guide groups of engineering teams on optimal design patterns and strategies for improvement over time. Collaborate with other ML/Ops engineers to develop and improve core components, infrastructure and architecture to train, deploy and serve models at scale. Collaborate with data scientists, engineers, product teams and other key stakeholders and drive ML projects from conception to completion. Use and build upon open-source cloud computing technologies. Participate and support engineering leaders in strategic planning and demonstrate good judgment in setting and delivering against strategic goals for the team. Mentor, influence engineers across organizations and lead by example with high quality examples of your work at the organization level. Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers. What To Bring 9+ years of industry experience. 9+ years of experience contributing to machine learning driven, large-scale distributed systems with large scale customer base. Good practical knowledge in modern machine learning lifecycle. Very strong architectural and design skills. 9+ years of programming experience in Python. Ability to technically collaborate with partners. Excellent written and verbal communications skills, be comfortable to contribute to technical documentation and on-call support. Experience with one of the cloud platforms AWS/GCP/Azure. Good understanding of machine learning platform. Experience with CI/CD tools like GitHub Actions, Jenkins etc. Experience with Docker and Kubernetes. Familiarity with agile practices and processes. Preferred: Hands-on experience on machine learning platform. Understanding of distributed systems and networking. Working experience with global teams. Programming experience in Java/Go. Data Modeling experience. What We Offer A Great Place to work. Equal opportunity employer. Fast track growth opportunities. Ability to break ground and own the architecture of large scale global recommendation systems. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at [email protected]. In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $159,600.00 - $296,400.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation. #J-18808-Ljbffr