Senior Machine Learning Engineer Charlie HealthSenior Machine Learning EngineerNew York, NY$170,000–$220,000 / yearFull timeA master’s or doctorate degree in a technical field, plus 2+ years of professional experience developing and delivering production software, including machine learning models. Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide.
Senior Machine Learning Engineer kargoSenior Machine Learning EngineerNew York, NY$150,000–$175,000 / yearStand up production-grade MLOps pipelines-training, fine-tuning, deployment, monitoring-on MLflow/Kubeflow/Ray Train so model iterations move from notebook to production in days, not weeks. Kargo is hiring a senior machine learning engineer to own the evolution of Finetouch, our creative scoring system-leading the design and production deployment of multimodal ML models that quantify creative quality and predict ad performance.
Lead, Machine Learning Engineer Prudential FinancialLead, Machine Learning EngineerNewark, New JerseyAdvanced experience and/or expertise with several of the following: Software Engineering & System Design: Requirement analysis, coding, and testing, version control, microservices architecture, building RestFul APIs, Distributed computing, architecture patterns, general understanding of computer architecture, Object-oriented programming concepts. Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
Machine Learning Engineering Manager, Personalization SpotifyMachine 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.
Senior Machine Learning Platform Engineer Charlie Health Engineering, Product & DesignSenior Machine Learning Platform EngineerNew York City, NY$170,000–$220,000 / yearYou'll inherit and evolve existing infrastructure while building new platform capabilities—from multi-tenant model serving and GPU inference pipelines to multimodal data management, evaluation frameworks, observability, and infrastructure as code. Design, build, and operate production model serving systems; maintain infrastructure as code for reproducible ML environments, training pipelines, and deployment workflows.
Machine Learning Platform Engineer PrizePicksMachine Learning Platform EngineerNew York, NYRemote$155,000–$185,000 / yearYour work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems. Build Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, setup platform for transitioning experimental Data Science models into robust, high-availability production services.
VP, Data Science / Machine Learning Lead - Capital Markets & Fixed Income TWG Global AIVP, Data Science / Machine Learning Lead - Capital Markets & Fixed IncomeNew York, NY$290,000–$300,000 / yearAt TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries, including financial services (particularly capital markets and fixed income), insurance, technology, media, and sports, by leveraging data and AI as core assets. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development.
Principal Software Engineer, Machine Learning Infrastructure SnapchatPrincipal Software Engineer, Machine Learning InfrastructureNew York, NY$276,000–$414,000 / year10+ years of post-Bachelor's software development experience; or a Master's degree in a technical field + 9+ year of post-grad software development experience; or a PhD in a related technical field + 6+ years of post-grad software development 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 Platform Engineer Charlie HealthSenior Machine Learning Platform EngineerNew York, NY$170,000–$220,000 / yearYou'll inherit and evolve existing infrastructure while building new platform capabilities—from multi-tenant model serving and GPU inference pipelines to multimodal data management, evaluation frameworks, observability, and infrastructure as code. Design, build, and operate production model serving systems; maintain infrastructure as code for reproducible ML environments, training pipelines, and deployment workflows.
Senior Machine Learning Engineer II Capital Rx, Inc.Senior Machine Learning Engineer IINew York, NY$180,400–$225,500 / yearWe want people who like 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. By delivering true price transparency, eliminating unnecessary middleman fees, and leveraging advanced AI-powered care delivery, Judi Health helps clients achieve unprecedented operational efficiency and service levels.
Senior Machine Learning Engineer Capital Rx, Inc.Senior Machine Learning EngineerNew York, NY$161,600–$202,000 / yearWe want people who like 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. By delivering true price transparency, eliminating unnecessary middleman fees, and leveraging advanced AI-powered care delivery, Judi Health helps clients achieve unprecedented operational efficiency and service levels.
AI / Machine Learning Engineering Lead Everest GroupAI / Machine Learning Engineering LeadWarren, New JerseyRemoteWe are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world. Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish.
Applied Artificial Intelligence/ Machine Learning Lead - Vice President JPMorgan Chase Bank, N.A.Applied Artificial Intelligence/ Machine Learning Lead - Vice PresidentJersey City, NJFull timeDemonstrated expertise building agentic AI systems, including several of: memory/state/context management, tool orchestration and workflow reliability patterns, loop engineering, spec-driven development, and prompt/skill instruction optimization. Advance agent quality via recursive self-improvement through automated evaluation and critique loops, red-team feedback, skill/prompt instruction optimization, and outcome-driven dataset curation (human-in-the-loop as needed).
Senior Machine Learning Engineering Manager Capital Rx, Inc.Senior 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.
Senior Product Manager, Machine Learning, Ads EtsySenior Product Manager, Machine Learning, AdsBrooklyn, New York$164,000–$212,000 / yearThe 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.
Manager, Machine Learning Engineering, Web Ads Ranking SnapchatManager, Machine Learning Engineering, Web Ads RankingNew York, NY$229,000–$343,000 / yearBuild the evaluation framework that enables rapid iteration and high-quality decision-making, working closely with Data Science and Product partners to define success metrics and measure outcomes. 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.
Translational Scientist, Applied Machine Learning and Agentic AI, Pharma R&D Tempus AITranslational Scientist, Applied Machine Learning and Agentic AI, Pharma R&DNew York City, New YorkYou 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.
Lead Machine Learning Scientist, New AI Products And Platforms The New York Times CompanyLead Machine Learning Scientist, New AI Products And PlatformsNew York, NY$166,000–$205,000 / year2+ years of experience building production systems that use LLMs, vision-language models, graph neural networks, or other deep learning models to solve user-facing problems. Basic Qualifications: PhD plus 4+ years experience, or 7+ years experience, in machine learning, statistics, computer science, computational social science, or another quantitative/computational discipline.
Lead Machine Learning Scientist, New AI Products and Platforms New York Times CompanyLead Machine Learning Scientist, New AI Products and PlatformsNew York, NY$166,000–$205,000 / year2+ years of experience building production systems that use LLMs, vision-language models, graph neural networks, or other deep learning models to solve user-facing problems. The annual base pay range for this role is between: $166,000—$205,000 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.
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.