NewMachine Learning Scientist — Large Multimodal Models (Post-Training) Iambic TherapeuticsMachine Learning Scientist — Large Multimodal Models (Post-Training)Boston, MassachusettsRemoteThe role centers on designing and evaluating post-training approaches for large multimodal language models including supervised fine-tuning, parameter-efficient fine-tuning, reinforcement learning, preference or reward-based optimization, and other emerging post-training methods. The Iambic platform has demonstrated delivery of new drug candidates to human clinical trials with unprecedented speed and across multiple target classes and mechanisms of action.
Staff Machine Learning Engineer XometryStaff Machine Learning EngineerWaltham, MAYou will be the data engineering lead for the digital thread that connects Xometry's platform to our partner's ecosystem — Solid Edge, NX, Designcenter, and Teamcenter — building the pipelines, contracts, and observability that move quotes, parts, manufacturability signals, and pricing between the two systems in real time. Bachelor's degree in a STEM field (or equivalent experience) plus 6-8 years of experience in machine learning engineering, with a track record of owning and delivering complex ML systems in production.
Machine Learning Engineer - Computer Vision & Robotics Tycho.AIMachine Learning Engineer - Computer Vision & RoboticsCambridge, MassachusettsSpun out of MIT and backed by DoD contracts, we are building breakthrough AI and autonomy solutions for unmanned systems operating in GPS-denied and contested environments. AI means being part of a team shaping the next decade of autonomy from defense applications to commercial opportunities in areas like logistics, disaster response, and beyond.
Machine Learning Quantitative Research Analyst State StreetMachine Learning Quantitative Research AnalystCambridge, MassachusettsMust also have: professional hands-on ability with Excel, PowerPoint, MATLAB, Python, SQL; experience applying machine learning techniques to financial and economic data, theoretical and practical concepts in machine learning; experience working with simulation techniques (Monte Carlo, Bootstrap), econometric techniques, and statistical techniques (regression, principle components analysis); knowledge of Portfolio theory, mean-variance optimization, back testing, and designing investment strategies; experience with asset pricing models, FX market analysis, and macro factors that influence the market; and demonstrated written communication skills suitable for authoring white papers and journal articles, ability to explain complex concepts in a clear and concise manner. Specific duties include: supporting the team’s new research on the thoughtful application of AI and machine learning to economics and finance; co-authoring white papers and journal articles in collaboration with colleagues; translating this academic research into practical applications and products (publications, indicators, tools, etc.); building calculation engines in Python for internal and client-facing tools; running customized analysis for clients and creating written reports; and engaging with clients as a subject matter expert on our related research.
Machine Learning Engineer Layer HealthMachine Learning EngineerBoston, MassachusettsYou will work closely with our software engineers, research scientists, and product teams to build ML-native enterprise platforms, ensuring scalability, efficiency, and reliability. We expect engineers to meet regularly in-person in either our NYC or Boston office (engineers from Boston, NYC, or east coast are welcome).
NewMachine Learning Engineer DEKA Research & DevelopmentMachine Learning EngineerManchester, NHIf you want to design distributed systems, deploy production ML models, and architect scalable data pipelines that make a measurable difference — this is your opportunity, and it starts with the software you design and deliver at DEKA.This role is on-site at DEKA in Manchester, NH. How You Will Make an Impact: Design and implement scalable backend services and microservices powering data-intensive, real-world applications.
Machine Learning Scientist – Clinical Prediction Iambic TherapeuticsMachine Learning Scientist – Clinical PredictionBoston, MassachusettsYou will identify, curate, and evaluate datasets that support prediction of relevant clinical endpoints (patient- and trial-level outcome modeling, safety/toxicity prediction, and PK/PD response modeling) and fine-tune Enchant to deliver critical clinical insights. This includes developing rigorous, leakage-resistant experimental frameworks, optimizing training, orchestrating runs at scale, and working with colleagues across ML and clinical functions to put these models into the hands of scientists making real therapeutic decisions.
Lead Research Scientist - Machine Learning STRLead Research Scientist - Machine LearningWoburn, MassachusettsThe 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.
Machine Learning Ops Eng II Boston Children's HospitalMachine Learning Ops Eng IIBoston, MAThis role is pivotal in developing and scaling advanced AI and machine learning projects, enhancing data frameworks, and optimizing data flows to support the hospital’s strategic initiatives. The ML Ops Engineer II works in close collaboration with data scientists and various stakeholders across the hospital to develop solutions that improve patient care outcomes and operational efficiency.
Machine Learning Scientist I/II, Multi-Modal Scientific Reasonings Lila SciencesMachine Learning Scientist I/II, Multi-Modal Scientific ReasoningsCambridge, MassachusettsWe’re hiring a Machine Learning Scientist to advance multi‑modal reasoning with vision‑language models (VLMs) on real-world scientific data including, but not limited to: figures and plots, microscopy data from diverse sources. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
Staff Machine Learning Engineer, ML Infrastructure SimplisafeStaff Machine Learning Engineer, ML InfrastructureBoston, MA$183,500–$244,600 / yearDeep expertise in cloud ML infrastructure on Kubernetes, with hands-on production experience with Ray (which powers our inference stack); experience with KServe, Triton, vLLM, Kubeflow, Argo, or similar is a strong plus. The work spans two of our most demanding workloads: real-time computer vision inference that processes video from cameras and doorbells across our customer base, and LLM/GenAI infrastructure that will power our future generation of intelligent applications.
NewStaff Machine Learning Engineer, ML Infrastructure SimpliSafeStaff Machine Learning Engineer, ML InfrastructureBoston, MA$183,500–$244,600 / yearDeep expertise in cloud ML infrastructure on Kubernetes , with hands-on production experience with Ray (which powers our inference stack); experience with KServe, Triton, vLLM, Kubeflow, Argo, or similar is a strong plus. The work spans two of our most demanding workloads: real-time computer vision inference that processes video from cameras and doorbells across our customer base, and LLM/GenAI infrastructure that will power our future generation of intelligent applications.
Machine Learning Operations Engineer II KenshoMachine Learning Operations Engineer IICambridge, MassachusettsWe balance pragmatic platform development with hands-on exploration at the frontier: building agentic applications ourselves, contributing to open-source tools, and defining what a mature agentic platform looks like before the industry has settled on the answers. You love improving the developer experience (including your own!) and find genuine satisfaction in making engineers more effective, whether by saving engineering hours or amplifying the impact of an engineering organization.
Senior Machine Learning Research Engineer (Deep Learning, Sensor Intelligence Group) WhoopSenior Machine Learning Research Engineer (Deep Learning, Sensor Intelligence Group)Boston, MA$150,000–$215,000 / yearYou will tackle the complex challenge of extracting reliable insights from noisy sensor data and deploying robust algorithms on constrained edge and cloud environments, ultimately delivering meaningful and personalized metrics to millions of members. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success.
Machine Learning Scientist — Agentic data pipelines Iambic TherapeuticsMachine Learning Scientist — Agentic data pipelinesBoston, MassachusettsRemoteWe are seeking a scientist to join our team at Iambic Therapeutics, working on data acquisition and curation for Enchant , our multimodal transformer model trained at scale on a wide variety of biomedical data. This role is ideal for candidates who combine strong software engineering instincts with scientific understanding of biomedical data, and who are excited about using LLMs as tools to solve practical data problems.
Senior Analyst, Data for Analytics and Machine Learning Forrester ResearchSenior Analyst, Data for Analytics and Machine LearningCambridge, MassachusettsCreate approximately eight to 12 high-quality, actionable, analytically deep, and fact-based research projects per year, which include a mixture of written reports, tools, webinars, videos, blogs, podcasts, infographics, and other intellectual property. The Senior Analyst helps clients deliver on their enterprise data and AI strategy with data science and ML products that leverage trusted, high-quality data enriched with relevant semantics and ontologies.
Senior Analyst, Data For Analytics And Machine Learning Forrester Research, Inc.Senior Analyst, Data For Analytics And Machine LearningCambridge, MA$119,000–$193,000 / yearCreate approximately eight to 12 high-quality, actionable, analytically deep, and fact-based research projects per year, which include a mixture of written reports, tools, webinars, videos, blogs, podcasts, infographics, and other intellectual property. The Senior Analyst helps clients deliver on their enterprise data and AI strategy with data science and ML products that leverage trusted, high-quality data enriched with relevant semantics and ontologies.
Machine Learning Manager - Catalog Duplicates WayfairMachine Learning Manager - Catalog DuplicatesBoston, MA$297,250–$300,000 / yearOversee the design and evolution of ML models that detect exact and near-duplicate relationships at scale, using a combination of representation learning, similarity search, graph-based methods, and large language models. Our north star is an orchestrated system that Detects, Reviews, and Resolves duplicates end-to-end with minimal human touch, while protecting customer trust, reducing supplier friction, and improving operational efficiency.
AI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools - USA Prolific Academic LtdAI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools - USABoston, MAWe are inviting experienced professionals in software engineering, product management, and UX/product design leadership roles to participate in upcoming research projects focused on workflow management tools and development processes. We'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.
Senior Machine Learning Scientist I/II, Model-Driven Optimization Generate BiomedicinesSenior Machine Learning Scientist I/II, Model-Driven OptimizationSomerville, MassachusettsThe ideal candidate combines depth in probabilistic machine learning, Bayesian optimization, active learning, or related approaches with the practical judgment and engineering discipline to turn technical ideas into reliable systems that drive impact. You will join a collaborative, ambitious team working to build a platform for therapeutic protein design that learns continuously from experimental data and turns that learning into new and better therapeutics with real impact.