Senior Machine Learning Research Engineer (Deep Learning, Sensor Intelligence Group) WhoopSenior Machine Learning Research Engineer (Deep Learning, Sensor Intelligence Group)Boston, MassachusettsYou 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 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 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.
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.
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.
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.
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.
Machine Learning Architect Ayo SemiconductorMachine Learning ArchitectBoston, MassachusettsExcitement about applying deep AI expertise to new and novel hardware environments - you don’t need prior experience with photonics or silicon, but you want to learn. Maintain a deep curiosity about what makes machine learning systems work - and bring that curiosity to bear on how they run on new hardware.
Senior Machine Learning Engineer, Core Algorithms WhoopSenior Machine Learning Engineer, Core AlgorithmsBoston, MassachusettsAt 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. Build operational maturity within the Core Algorithms team as well as the broader Machine Learning team, developing processes for observability, alerting, and incident response (including on-call rotations).
Junior Biostatistician MaximusJunior BiostatisticianBoston, MARemoteFull timeMaximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. -Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
Machine Operator - 3rd Shift ITWMachine Operator - 3rd ShiftNewburyport, MassachusettsFounded in 1912, Illinois Tool Works Inc. (NYSE: ITW) is a diversified, Fortune 200 manufacturing company that delivers specialized expertise, innovative thinking and value-added products to meet critical customer needs in a variety of industries. While performing the duties of this job, the employee is frequently required to climb, stand and walk, around the machines to replenish coating and perform visual inspections of the product, sit as needed, use hands to finger dexterity, handle, and/or feel.
ML Scientist Layer HealthML ScientistBoston, Massachusetts$200,000–$250,000 / yearExceptional methodological research background and experience, including but not limited to: A PhD in computer science/applied mathematics or equivalent research experience, specializing in natural language processing and machine learning. We are a Boston-based company, and expect employees to meet regularly in-person in Boston (employees from Boston, NYC, or east coast are welcome).
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.
Principal Pricing Data Engineer Waters CorporationPrincipal Pricing Data EngineerMilford, MassachusettsStrong business domain knowledge and experience working with enterprise systems such as SAP (e.g., supply chain data, orders, revenue recognition, pricing), Salesforce (commercial operations), and/or Service Excellence domains, with the ability to translate business processes into scalable data solutions. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance.
Data Science Manager, Marketing DK Crown HoldingsData Science Manager, MarketingBoston, MassachusettsYou'll lead a team of data scientists and machine learning engineers, guiding projects from concept through production and delivering scalable, high-performing machine learning systems. Partner with Product, Engineering, and business stakeholders to scope projects, prioritize work, and deliver high-value, data-driven solutions.
Senior Data Scientist TechStarsGroupSenior Data ScientistBoston, MassachusettsConduct exploratory data analysis, statistical testing, and develop inference models to measure and validate novel digital biomarkers related to disease and behavior. The Senior Data Scientist will play a pivotal role in providing programming, advanced statistical, and machine learning expertise to our Clinical Data Science team.
Associate Director, Machine Learning (Core Algorithms) WhoopAssociate Director, Machine Learning (Core Algorithms)Boston, MA$200,000–$245,000 / yearWe 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.