NewStaff Machine Learning Engineer - Music Mission Spotify Technology SAStaff Machine Learning Engineer - Music MissionNew York, NY$227,495–$324,993 / yearAs a Staff Machine Learning Engineer, you'll help shape the Machine Learning technical strategy for this high-impact area, partnering across engineering, product, data science, research, and design to create tools that help artists grow their audiences while supporting Spotify's core business. You enjoy leading technically complex projects from idea through production and working closely with teammates and partners to deliver meaningful outcomes.
Machine Learning Engineering Manager, Personalization Spotify Technology SAMachine Learning Engineering Manager, PersonalizationNew York, NY$184,049–$262,928 / yearAs the Engineering Manager, you'll lead a talented team of machine learning, backend and data engineers while providing both technical direction and people leadership, helping the team deliver innovative ML capabilities that reach millions of listeners every day. The team is focused on training and improving the machine learning models that rank and personalize some of Spotify's most-loved listening experiences, including Radio and Daily Mix.
Staff Machine Learning Engineer, Personalization Spotify Technology SAStaff Machine Learning Engineer, PersonalizationNew York, NY$227,495–$324,993 / yearThis role is ideal for someone who enjoys taking models from research to production, driving technical direction in ambiguous problem spaces, and solving complex personalization challenges at global scale. The team owns and evolves the experiences that help listeners quickly connect with the content that matters most to them, including the Home Shortcuts experience and the underlying intelligence that powers it.
Lead Machine Learning Engineer Capital One Financial CorpLead Machine Learning EngineerNew York, NY$197,300–$225,100 / yearIn this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Machine Learning Scientist, Algorithmic Recommendations (Email Targeting) New York Times CompanyMachine Learning Scientist, Algorithmic Recommendations (Email Targeting)New York, NY$121,000–$131,000 / yearThe annual base pay range for this role is between: $121,000—$131,000 USD For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. You will communicate complex ideas in machine learning while collaborating with all kinds of colleagues in in engineering, analytics, product management, marketing, editorial, and executive leadership groups.
Machine Learning Scientist, Algorithmic Recommendations Email Targeting The New York Times CoMachine Learning Scientist, Algorithmic Recommendations Email TargetingNew York, NY$121,000–$131,000 / yearYou will communicate complex ideas in machine learning while collaborating with all kinds of colleagues in in engineering, analytics, product management, marketing, editorial, and executive leadership groups. Basic Qualifications: PhD, MS + 2 years experience, or 3+ years experience in statistics, computational social science, applied mathematics, economics, or another quantitative/computational discipline.
NewMachine Learning Research Scientist, Evaluations Scale AI IncMachine Learning Research Scientist, EvaluationsNew York, NY$180,600–$225,750 / yearThe range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Our products provide the high-quality data and full-stack technologies that power the world''s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
Machine Learning Engineer II, CNN Digital Products and Services Warner Bros. Discovery IncMachine Learning Engineer II, CNN Digital Products and ServicesNew York, NY$112,000–$208,000 / yearYou will work on production ML systems with measurable product impact, collaborating with cross-functional teams of engineers, data scientists, product managers, and editorial staff. Our ML/AI team works at the intersection of journalism, technology, and user experience, building systems that help people discover and engage with the news that matters to them.
Senior Machine Learning Engineering Manager Capital Rx LLCSenior Machine Learning Engineering ManagerNew York, NY$189,600–$237,000 / yearWe want people who like leading and working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. We are looking for an experienced software engineer with hands-on machine learning and leadership expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services.
Staff Machine Learning Infrastructure Engineer, Embedding Platform Reddit IncStaff Machine Learning Infrastructure Engineer, Embedding PlatformNYRemote$253,300–$354,600 / yearAs a Staff Machine Learning Infrastructure Engineer, you will own the technical direction for large-scale machine learning platform, guiding the development of advanced deep learning architectures and high-impact ML systems. You will partner with leadership to define ML roadmaps, drive innovation in scalable model design and training approaches, and ensure efficient, reliable deployment of ML models in production.
Senior Product Manager, Machine Learning, Ads EtsySenior Product Manager, Machine Learning, AdsBrooklyn, New YorkThe Ads team works across buyer experience, seller tools, relevance, and core Ads systems, including ML-informed decisioning, pacing, forecasting, and marketplace infrastructure that directly shape Ads performance end-to-end. As an Etsy Inc. employee , whether a team member of Etsy or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
Translational Scientist, Applied Machine Learning And Agentic AI, Pharma R&D TempusTranslational Scientist, Applied Machine Learning And Agentic AI, Pharma R&DNew York City, NY$100,000–$150,000 / yearYou will apply advanced scientific methodologies to develop new predictive models and utilize causal inference frameworks to analyze vast multimodal oncology data, helping to scale scientific discovery from a manual process to a high-throughput, automated engine. The Translational Scientist, Applied Machine Learning and Agentic AI will contribute to the technical development of cutting-edge agentic frameworks designed to automate the discovery of novel prognostic and predictive models in oncology.
AI / Machine Learning Engineer 1KosmosAI / Machine Learning EngineerIselin, NJYou will work on projects involving image capture , data extraction , and fraud detection , delivering high-performance models that can run on both mobile devices and cloud environments. Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems.
Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) Capital One Financial CorpSr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)New York, NY$229,900–$262,400 / yearIn this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. 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.
Machine Learning Operations Engineer BdiplusMachine Learning Operations EngineerNew York, NY$110,000–$130,000The MLOps Engineer will be responsible for building and maintaining the infrastructure that enables reliable deployment, monitoring, governance, and continuous improvement of production machine learning systems across enterprise client environments. From modern data engineering and AI-powered products to cloud-native architectures and enterprise automation, our teams work on cutting-edge technologies that transform how businesses operate.
Machine Learning Engineer, Level 5 Snap IncMachine Learning Engineer, Level 5New York, NY$209,000–$313,000 / year5+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience. The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.
Senior Machine Learning Engineer - Policy & Safety SpotifySenior Machine Learning Engineer - Policy & SafetyNew York, NY$184,050–$262,928 / yearWith a strong focus on “safety by default,” the team is investing in large-scale rearchitecture and ML-driven systems to proactively protect users and empower safer interactions across the platform. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day.
Machine Learning Engineer StackAdaptMachine Learning EngineerNew York, NYRemote$140,000–$192,500 / yearFactors Influencing Final Compensation: The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications. You'll be working directly with our Applied Machine Learning Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models.
Machine Learning Engineer, Generative ML, Level 5 Snap IncMachine Learning Engineer, Generative ML, Level 5New York, NY$209,000–$313,000 / yearOur team creates intuitive tools, platforms, and agentic systems that empower creators, developers, and internal teams to bring ideas to life, while advancing personalized, human-centric experiences across mobile, web, and wearable devices like Spectacles. 5+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience.
Lead Machine Learning Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) Capital OneLead Machine Learning Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)New York, New YorkLead Machine Learning Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.