Machine Learning User Research Scientist (Ph.D.) Exponent Inc.Machine Learning User Research Scientist (Ph.D.)New York, New York$130,000–$140,000 / yearFull timeYou will be responsible for: Supporting a range of consulting activities related to large-scale local and global programs to build custom datasets for machine learning algorithms including protocol development, data collection, data management, and analysis. D. in Electrical Engineering, Computer Engineering, Physiology, Human Factors, or a related engineering/scientific field (such as Applied Mathematics, Computer Science, Cognitive Science, Applied Physics, Industrial Engineering, Mechanical Engineering, or Robotics).
Machine Learning Engineer - Inference / Serving YobiMachine Learning Engineer - Inference / ServingNew York, New YorkRemote$180,000–$275,000 / yearEngineers here own major surface areas , build 01 systems in large-scale data and model infrastructure, and help define how Behavioral AI scales ethically and effectively. You’ll work at the core of our production environment, turning trained models into performant, reliable, and continuously improving services that power our open-web and CTV products.
Machine Learning Engineer Distributed SpectrumMachine Learning EngineerNew York, New YorkYou’ll be responsible for translating high-level problem statements into working machine learning solutions—owning the entire process from research to implementation. You’ll work closely with embedded engineers, leadership, and our customers to ensure that our models not only work in theory but perform in the real world.
Machine Learning Research Engineer Tower ResearchMachine Learning Research EngineerNew York, NY$200,000–$300,000 / yearAgentic Workflows for ML Research: Leverage AI agents and auto-research workflows to autonomously generate experiments, stress-test our distributed clusters, and provide data-driven, actionable feedback on what infrastructure needs to be optimized or built next. By leveraging AI agents and auto-research capabilities, you will push our systems to their limits, identify bottlenecks, and create a frictionless environment to test novel machine learning models on realistic, large-scale data.
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 - Core Signals YobiMachine Learning Engineer - Core SignalsNew York, New YorkRemote$180,000–$275,000 / yearEngineers here own major surface areas , build 01 systems in large-scale data and model infrastructure, and help define how Behavioral AI scales ethically and effectively. You've worked on and can speak to at least some of: representation learning, embeddings drift, CTR modeling, sequence modeling, etc., preferably on "big data" in an industrial setting.
Staff Machine Learning Engineer Boulevard Labs IncStaff Machine Learning EngineerNYRemote$136,000–$171,000 / yearBefore launching in 2016, our founders spent months interviewing salon managers and working behind front desks to understand their pain points so we could design a modern, user-friendly platform that meets the unique needs of their business. Experience designing scalable data pipelines, data quality, governance and working with modern cloud data platforms such as Snowflake, Databricks, or similar.
Staff Machine Learning Engineer Charlie HealthStaff Machine Learning EngineerNew York City, NY$175,000–$255,000 / yearCharlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. A bachelor's degree in a technical field, plus 8+ years of professional experience developing and delivering production software, including machine learning models; OR.
NewMachine Learning Engineer GCP Vertex AI Apache Iceberg IPolarity LLCMachine Learning Engineer GCP Vertex AI Apache IcebergWhippany, NJFull timeWe are looking for a platform-oriented Machine Learning Engineer who can bridge the gap between Data Science and Data Engineering and transform ML models into scalable, governed, production-ready solutions on GCP. • Develop scalable data processing pipelines using Dataproc, Apache Spark, PySpark, and Spark SQL.
Machine Learning Engineer - Applied / Product YobiMachine Learning Engineer - Applied / ProductNew York, New YorkRemote$180,000–$275,000 / yearThis role involves a large degree of 0-to-1 development, and will rely on collaboration with Product, core signals MLEs, and leaning on your own expertise and insight in building holistic ML-powered products. Engineers here own major surface areas , build 01 systems in large-scale data and model infrastructure, and help define how Behavioral AI scales ethically and effectively.
Machine Learning Engineer ArloMachine Learning EngineerNew York City, New YorkWe're hiring ML Engineer to build and own the infrastructure that powers it — from training models on tens of millions of patients and hundreds of millions of rows of claims data, to serving real-time quotes in seconds against inference-time datasets that run into the trillions of rows. Experience building tooling that makes other people faster — feature testing, experiment tracking, backtesting, or similar developer/researcher-facing infrastructure.
Machine Learning Engineer II CLEAR - CorporateMachine Learning Engineer IINew York, NY$180,000–$220,000 / yearExamples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment. As a Machine Learning Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform - one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core.
Senior Staff Machine Learning Engineer EtsySenior Staff Machine Learning EngineerBrooklyn, New York$245,000–$319,000 / yearEtsy is one of the largest global marketplace platforms in the world, and offers three work modes to meet our team's various needs and preferences: Flex mode for candidates who are comfortable traveling to an office location 4+ times per month, Remote mode, and Office-based mode. We are looking for a Senior Staff Software Engineer, Machine Learning to be a pivotal technical leader in architecting the next generation of AI/ML models and systems that connect buyers and sellers across Etsy's platform.
Senior Staff Machine Learning Engineer GrubhubSenior Staff Machine Learning EngineerNew York, New York$240,000–$249,500 / yearDeep neural networks, learned embeddings and approximate nearest neighbor retrieval, transfer learning from pre-trained large scale models, calibration, classic regressions, fine tuning, and large language models all have a place in our daily lexicon. As a leading U.S. ordering and delivery marketplace, we feature over 415,000 merchants in more than 4,000 cities, creating the ultimate food experience by elevating online ordering through innovative restaurant technology, easy-to-use platforms, and an improved delivery experience.
AI/Machine Learning Engineer TechDigitalAI/Machine Learning EngineerJersey City, NJThis position is essential for developing strategies that enhance client service delivery and product optimization, using cutting-edge machine learning tools and techniques to drive data-driven decision-making within the organization. Design And Implement Advanced Machine Learning Algorithms Using Tensorflow And Pytorch To Extract Insights From Large Datasets, Delivering Customized Analytical Reports Tailored To The Needs Of Colleagues, Clients, And Stakeholders.
Machine Learning Engineer II KenshoMachine Learning Engineer IINew York, New YorkThis is a hands-on, full-lifecycle (from experimentation to productionization) ML role with a strong emphasis on developing and orchestrating intelligent agent frameworks, designing novel and robust retrieval methods, validating AI-generated outputs, and building scalable systems that connect data to actionable insights. What You’ll Do : Solve unique challenges in agentic design and LLM orchestration, including context engineering, data access patterns, memory management, and evaluation of agent performance to ensure they meet user needs effectively.
Machine Learning Engineer VerneekMachine Learning EngineerNew York, NYIf you are craving to learn something new every day while working at the cutting edge of AI, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day. Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries.
Machine Learning Engineer II Clear Secure Inc.Machine Learning Engineer IINew York, NY$180,000–$220,000 / yearExamples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment. As a Machine Learning Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform - one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core.
Staff Machine Learning Engineer Appgate IncStaff Machine Learning EngineerNew York, NY$180,000–$220,000 / yearThis is a hands-on technical leadership role, shaping our fraud prevention roadmap and ensuring the platform evolves to meet emerging threat patterns through automation, data intelligence, and generative AI-enhanced detection models. You will architect large-scale ML systems that detect and prevent fraud in real time combining deep machine learning expertise with scalable engineering and domain knowledge in financial systems.
Staff Machine Learning Operations Engineer Garner Health Technology, Inc.Staff Machine Learning Operations EngineerNew York City, NY$298,000–$351,000 / yearWe partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. Establish Drift Monitoring: Design and implement automated data drift and concept drift monitoring systems that alert the team when models degrade, laying the groundwork for future Continuous Training (CT) architectures.