Machine Learning Operations Engineer II OSTTRAMachine 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.
Machine Learning Engineer Layer HealthMachine Learning EngineerBoston, Massachusetts$210,000–$250,000 / yearYou 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).
Staff Machine Learning Engineer, ML Infrastructure SimpliSafe IncStaff Machine Learning Engineer, ML InfrastructureBoston, MA$183,500–$269,100 / 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.
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 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.
Founding Machine Learning Engineer Work at OnescreenFounding Machine Learning EngineerBoston, MassachusettsDesign and ship matching and ranking models for OOH inventory: candidate generation, re-ranking, geospatial-aware scoring. Real ranking and matching modeling fluency — learning-to-rank, retrieval and re-rank patterns, not just classification.
Machine Learning Scientist — Large multimodal models Iambic TherapeuticsMachine Learning Scientist — Large multimodal modelsBoston, MassachusettsRemoteYou will design and evaluate new model architectures, develop hybrid modeling approaches, optimize training and inference at scale, and work with colleagues across ML and drug discovery to put these models into the hands of scientists making real therapeutic decisions. 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.
Senior Data Scientist - Data for Perception Machine Learning Zoox IncSenior Data Scientist - Data for Perception Machine LearningBoston, MA$190,000–$258,000 / yearIn this role, you will: • Define and implement scalable data quality measures across complex multimodal data labeling pipelines • Drive data-centric ML model improvements to achieve critical Zoox milestones • Support an org-wide data ontology and class structure for perception models • Determine trade-offs and integrations between human-labeled human-in-the-loop and zero-shot autolabeled data • Build metrics to quantify labeling throughput capacity and annotator/vendor quality. Masters or PhD degree in a field relevant to autonomous driving, computer science, robotics, to the analysis of human data, computational neuroscience, cognitive science, or a related field.
Machine Learning Scientist I/II, Multi-Modal Scientific Reasonings Lila Sciences IncMachine Learning Scientist I/II, Multi-Modal Scientific ReasoningsCambridge, MA$176,000–$304,000 / yearWe'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.
Senior / Staff Machine Learning Engineer, Applied AI Lila Sciences IncSenior / Staff Machine Learning Engineer, Applied AICambridge, MA$180,000–$336,000 / yearFull-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. You'll work on improving Lila's AI models for customer-specific scientific needs, with a focus on turning frontier model capabilities into reliable workflows that can be evaluated, iterated, and used in real customer contexts.
Machine Learning Scientist I/II, Multi-Modal Scientific Reasonings Lila SciencesMachine Learning Scientist I/II, Multi-Modal Scientific ReasoningsCambridge, Massachusetts$176,000–$304,000 / yearWe’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.
Lead Research Scientist - Machine Learning STRLead Research Scientist - Machine LearningWoburn, 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.
Machine Learning Scientist I/II, LLM Training & Inference Research Lila Sciences IncMachine Learning Scientist I/II, LLM Training & Inference ResearchCambridge, MALocationSan Francisco, CA or Cambridge, MA (Hybrid and On-Site available depending on team needs).CompensationWe expect the base salary for this role to fall between $176,000-$304,000 USD per year, along with bonus potential and generous early equity. We are introducing scientific superintelligence to solve humankinds greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before.
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.
Machine Learning Operations Engineer II S&P Global IncMachine Learning Operations Engineer IICambridge, MA$130,000–$175,000 / yearWe 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. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com.
Machine Learning Engineer Red Hat IncMachine Learning EngineerBoston, MARemote$136,320–$225,090 / yearWe are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies.
Senior Analyst, Data for Analytics and Machine Learning Forrester Research IncSenior 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.
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.