Group 2-24 | Co-Op | Biomedical & Physiological Signal Processing & Machine Learning | Jun-Dec 2026 MIT Lincoln LaboratoryGroup 2-24 | Co-Op | Biomedical & Physiological Signal Processing & Machine Learning | Jun-Dec 2026Lexington, MA$24.50–$31 / hourconsisting of engineers, scientists, and clinicians to prepare and process large biomedical and physiological datasets (e.g.,PPG, accelerometry, EOG, EEG, commercial-off-the-shelf wearable data, etc), develop and evaluate machine learning algorithms, and implement data visualization tools for advanced prediction and inference of physiological status (i.e. fatigue, illness, stress, etc). Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
NewMachine Learning Scientist Cartesian SystemsMachine Learning ScientistCambridge, MAOur platform delivers accurate indoor positioning and actionable product location insights, helping retailers streamline operations, optimize workflows, and reduce inefficiencies. You'll have a direct impact on key positioning algorithms & models, take ownership of new features, and help shape the technical roadmap of a category-defining product.
Senior Machine Learning Engineer ASUSTeK ComputerSenior Machine Learning EngineerBoston, MA$161,000–$246,000 / yearWe are looking for a seasoned engineer who brings deep technical expertise, sound engineering judgment, and a proven track record of delivering production ML systems in complex, real-world environments. Our multidisciplinary team of the brightest engineers and scientists is dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence.
Artificial Intelligence & Machine Learning, Off (US Only) State Street CorporationArtificial Intelligence & Machine Learning, Off (US Only)Boston, MA$70,000–$118,750 / yearWe are looking for an Officer‑level Compliance Technology Business Analyst / AI / Machine Learning professional to support the development and operation of data‑driven solutions across Anti‑Money Laundering (AML), Sanctions Screening, and Financial Crimes Compliance platforms. The individual will work closely with senior data scientists, engineers, compliance partners, and technology teams to build, test, and monitor models while ensuring solutions remain explainable, auditable, and compliant with regulatory expectations.
Senior Research Scientist, Machine Learning Analog DevicesSenior Research Scientist, Machine LearningBoston, MassachusettsMust also possess the following (quantitative experience requirements not applicable to this section): Demonstrated Expertise ("DE") in machine learning ("ML") algorithm development and deployment of end-to-end ML pipelines using at least one of the following frameworks: Tensorflow, Keras, Pytorch, Caffe, or Jax; DE developing and applying neural networks, deep learning, transformers, and Large Language ML models; and. Requirements: Must have a Master’s degree in Computer and Information Technology, Computer Science, Computer Engg, Electrical Engg, or closely related technical discipline (willing to accept foreign education equivalent) and two (2) years of experience in the job proffered or related occupation conducting machine learning (ML) research and development in Energy, Security, Communication, or Healthcare.
Associate Director, Machine Learning (Core Algorithms) WhoopAssociate Director, Machine Learning (Core Algorithms)Boston, MassachusettsWe are seeking an Associate Director, Core Algorithms (Cloud) to lead the teams responsible for WHOOP's cloud-based algorithmic intelligence — the models and systems that transform physiological data into the sleep, recovery, and training insights our members rely on daily. This role is also responsible for ensuring our cloud algorithms evolve alongside WHOOP hardware, partnering with Sensor Intelligence and Hardware teams to translate new sensor capabilities into production-grade algorithmic experiences.
Senior Machine Learning Engineer VideaHealthSenior Machine Learning EngineerBoston, MAVidea is supported by some of the best investors in the world, having raised over $67M in Venture Capital from Tier 1 investors such as Spark Capital (Twitter, SnapChat, SmileDirectClub), Zetta Venture (Kaggle), and Pillar VC (PillPack), as well as angel investors such as Frederic Kerrest (Co-founder of Okta). Deep, demonstrable expertise in at least one area of ML engineering, such as predictive and tabular modeling, multimodal systems, training and inference infrastructure, or model evaluation and reliability, along with the breadth to contribute across the stack.
Senior Manager, Machine Learning, SaMD WhoopSenior Manager, Machine Learning, SaMDBoston, Massachusetts$170,000–$230,000 / yearSuccess in this role requires a profile with both ML and SaMD depth to evaluate your team's most important decisions, plus the people leadership skill to grow ICs, drive cross-functional alignment, and deliver with both pace and rigor in a regulated environment. You will set direction for your teams, develop the next generation of leaders within the function, and partner deeply across regulatory, quality, clinical science, product, software, and firmware to deliver health products that meet a clinical-grade bar.
Senior Manager, Machine Learning, Samd WhoopSenior Manager, Machine Learning, SamdBoston, MA$170,000–$230,000 / yearSuccess in this role requires a profile with both ML and SaMD depth to evaluate your team's most important decisions, plus the people leadership skill to grow ICs, drive cross-functional alignment, and deliver with both pace and rigor in a regulated environment. You will set direction for your teams, develop the next generation of leaders within the function, and partner deeply across regulatory, quality, clinical science, product, software, and firmware to deliver health products that meet a clinical-grade bar.
Machine Learning Experts - PhD - AI Training - US Prolific Academic LtdMachine Learning Experts - PhD - AI Training - USCambridge, MAWe've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development.
Translational Scientist, Applied Machine Learning And Agentic AI, Pharma R&D TempusTranslational Scientist, Applied Machine Learning And Agentic AI, Pharma R&DBoston, MA$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.
Senior Machine Learning Engineer, AI Platform WhoopSenior Machine Learning Engineer, AI PlatformBoston, MA$150,000–$210,000 / yearProven track record building, shipping, and operating ML-powered systems end to end, from data pipelines (batch and/or streaming) that transform large datasets into usable training and evaluation sets to production deployments with inference optimization, observability, and lifecycle management. Operationalize fine-tuning and evaluation workflows for large language models behind member-facing features such as WHOOP Coach and AI Support, including defining datasets, labels, and taxonomies that reflect real member needs.
Entry Level Machine Learning Engineer SynergisticITEntry Level Machine Learning EngineerBoston, MA$95,000–$154,000 / yearSince 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
Machine Learning Manager - Advertising Science WayfairMachine Learning Manager - Advertising ScienceBoston, MAWorking closely with a high-performing team of ML scientists and engineers, you'll tackle some of Wayfair's most intellectually challenging problems in machine learning, latency, and scalability, while directly contributing to the company's bottom line. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques.
NewMachine Learning Scientist SunoMachine Learning ScientistBoston, Massachusetts$207,454–$394,800 / yearWe are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA). For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible.
Senior Machine Learning (ML) Ops Engineer BizmoniSenior Machine Learning (ML) Ops EngineerBoston, MassachusettsRemoteYou will collaborate closely with data scientists, data engineers, and developers to ensure our models are secure, scalable, reliable, and cost-efficient. Design, build, and maintain end-to-end machine learning infrastructure ensuring scalability, high availability, and performance.
Principal Site Reliability Engineer, Machine Learning Cambridge Mobile TelematicsPrincipal Site Reliability Engineer, Machine LearningCambridge, MA$142,000–$177,600 / yearMaintain the observability of uptime, availability, and scalability of EKS Ray and Databricks workloads using CloudWatch and Datadog, including defining alerting that maps to SLOs. Responsibilities: Use independent judgment and discretion to own SLOs, error budgets, and the operational health of Ray clusters running on AWS EKS and Databricks workloads on AWS EC2 across multiple accounts and regions.
Machine Learning Platform Engineer PrizePicksMachine Learning Platform EngineerBoston, MARemote$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.
Lead Research Scientist - Machine Learning (Clearance Required) STRLead Research Scientist - Machine Learning (Clearance Required)Woburn, Massachusetts$174,000–$220,000 / yearThe Signals Exploitation and Tracking (SET) Group in the Analytics and C2 Division focuses on applying machine learning, statistics, estimation theory, and information theory algorithms for signals exploitation, target tracking, predictive analytics, and system resource management. MS with at least 8 years of experience, and/or PhD with at least 5 years of experience (or equivalent experience) in a scientific field such as applied math, physics, electrical engineering, computer science, or data science.
Principal Technical Product Manager, Machine Learning Cambridge Mobile TelematicsPrincipal Technical Product Manager, Machine LearningCambridge, MA$141,100–$176,400 / yearThe Principal Technical Product Manager I, Machine Learning leads high-impact initiatives at the intersection of machine learning, telematics, and product innovation within CMT's DriveWell Fusion Platform. This role is responsible for shaping and executing a data-centric roadmap-from signal processing and data cleansing to AI-powered insights-while working closely with engineering, customers, and cross-functional teams.