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.
Research Scientist - Machine Learning ExtropicResearch Scientist - Machine LearningWaltham, MassachusettsOur ML team works on the science of training models in the thermodynamic paradigm, and we are looking for senior research and engineering talent to derive probabilistic ML theory, empirically demonstrate its scaling properties, and deploy performant models. Collaborate with senior researchers, residents, engineers, and physicists to derive the theory of new probabilistic models and their learning rules, including energy-based models and diffusion models.
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.
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.
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.
Machine Learning / Computer Vision Engineer EkaMachine Learning / Computer Vision EngineerCambridge, MassachusettsBuild computer vision and visual representation learning pipelines for robotic manipulation, including RGB, RGB-D, depth, segmentation, pose, keypoint, and object-centric representations. Improve our data pipeline for vision-based manipulation policies through domain randomization, photorealistic rendering, synthetic data generation, sensor noise modeling, and real-world fine-tuning.
NewSenior Machine Learning Engineer - Hybrid Manulife Financial CorpSenior Machine Learning Engineer - HybridBoston, MA$107,450–$199,550 / yearDuties include: Design, recommend, and implement platforms and infrastructure using MLOps/LLMOps best practices; Collaborate with data scientists and data engineers to design and implement scalable and efficient machine learning pipelines; Evaluate and optimize machine learning models for performance and scalability; Deploy machine learning models into production and monitor performance; Manage data science infrastructure to streamline model development and deployment; Support development and deployment of high-quality Generative AI technologies including prompt engineering and RAG applications, and fine-tuning LLM models using Azure AI Studio; Propose appropriate tools including languages, libraries, and frameworks for implementing projects; Work closely with infrastructure architects to design scalable and efficient solutions; Collaborate with cross-functional teams to integrate machine learning models into existing systems and processes; Keep abreast of latest advancements in machine learning, MLOps, and LLMOps techniques, and contribute to continuously improving organization's machine learning capabilities; and. 3 years of experience designing and building scalable ETL pipelines and feature engineering workflows for large-scale datasets using distributed processing frameworks including Apache Spark (PySpark, Spark SQL), Hadoop ecosystem tools, or cloud-based big data services including Databricks and EMR.
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.
Manager, Machine Learning On Orbit Boston Dynamics, inc.Manager, Machine Learning On OrbitWaltham, MA$187,580–$275,117 / yearResearch, prototype, and deploy models leveraging multimodal data from robotic sensors to extract useful site information - anomalous machine states, object classification, etc. The Spot quadruped robot performs inspections on thousands of sites around the world, helping customers to inspect, operate and optimize their industrial facilities.
NewSenior Machine Learning Engineer - Hybrid ManulifeSenior Machine Learning Engineer - HybridBoston, MassachusettsDuties include: Design, recommend, and implement platforms and infrastructure using MLOps/LLMOps best practices; Collaborate with data scientists and data engineers to design and implement scalable and efficient machine learning pipelines; Evaluate and optimize machine learning models for performance and scalability; Deploy machine learning models into production and monitor performance; Manage data science infrastructure to streamline model development and deployment; Support development and deployment of high-quality Generative AI technologies including prompt engineering and RAG applications, and fine-tuning LLM models using Azure AI Studio; Propose appropriate tools including languages, libraries, and frameworks for implementing projects; Work closely with infrastructure architects to design scalable and efficient solutions; Collaborate with cross-functional teams to integrate machine learning models into existing systems and processes; Keep abreast of latest advancements in machine learning, MLOps, and LLMOps techniques, and contribute to continuously improving organization’s machine learning capabilities; and. 3 years of experience designing and building scalable ETL pipelines and feature engineering workflows for large-scale datasets using distributed processing frameworks including Apache Spark (PySpark, Spark SQL), Hadoop ecosystem tools, or cloud-based big data services including Databricks and EMR.
Senior Machine Learning Engineer (3968) GBGSenior Machine Learning Engineer (3968)Manchester, NHThe role requires deep expertise in modern ML and computer vision techniques, experience operating models in production, and the ability to guide junior engineers through the full ML lifecycle while driving measurable improvements in model performance and product quality. The Senior Machine Learning Engineer is a senior individual contributor responsible for designing, developing, deploying, and continuously improving machine learning and computer vision models that power production‑grade systems.