NewMachine Learning Engineer Manulife Financial CorpMachine Learning EngineerBoston, MA$90,160–$167,440 / yearJob Duties: Develop, build and maintain scalable data pipelines supporting underwriting, analytics, and machine learning systems; Develop and deploy backend services and microservices to support data ingestion, retrieval, and ML inference workflows; Deploy, monitor, and maintain machine learning pipelines and backend services in production environments; Conduct root‑cause analysis of data, model, and pipeline issues and implement corrective solutions; Collaborate with data scientists, underwriters, and engineering teams to translate business requirements into technical solutions; and. Minimum Requirements: Master's degree or foreign equivalent in Data Science, Information Studies, Information Science, Computer Science, Machine Learning, or a closely related field and 3 years of Python programming experience for backend systems, automation, or machine learning workloads.
Staff Machine Learning Engineer - Generative AI XometryStaff Machine Learning Engineer - Generative AIWaltham, MAThis is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Machine Learning Engineer Cartesian SystemsMachine Learning EngineerCambridge, MADeep expertise in a relevant subfield, e.g., time-series models (transformer-based or probabilistic/state estimation), representation learning, computer vision, or multi-sensor fusion (2D/3D perception, pose estimation, tracking, SLAM). You'll own ML problems end to end, from framing and data, through modeling and evaluation, to production and monitoring across hundreds of live stores, and help shape the technical roadmap of a category-defining product.
Staff Machine Learning Engineer, Agentic Systems Boston Dynamics, inc.Staff Machine Learning Engineer, Agentic SystemsWaltham, MA$155,000–$235,000 / yearIn this pivotal role, you will work on System 2 - the planning and reasoning layer that sits above robotic control - enabling humanoid robots to perform long horizon tasks in dynamic environments. You will work closely with behavior engineers to design and build Atlas' agentic architecture - empowering robust autonomy through the use of task prompts, long-horizon planning, VLM inference, memory, and tool use.
Research Scientist or Postdoctoral Associate in Formal Methods for Security and Machine Learning UMass LowellResearch Scientist or Postdoctoral Associate in Formal Methods for Security and Machine LearningLowell, MassachusettsAnitha Gollamudi at the Richard Miner School of Computer Science and Information, invites applications for a postdoctoral associate or research scientist position in the area of formal methods for security and machine learning. Special Instructions to Applicants: Only current UML Employees within the Grants & Contracts (MTA/GRACE) bargaining unit will be considered during the first 10 business days of the posting.
Machine Learning Engineer - Computational Drug Discovery 5AM VenturesMachine Learning Engineer - Computational Drug DiscoveryWatertown, MAOur team is dedicated to the development of a broad pipeline of small molecules powered by unique chemistry insights to address a wide range of highly unmet clinical needs. The ideal candidate is comfortable operating across disciplines, takes pride in building reliable systems, and appreciates the opportunity to have a direct impact on scientific decision-making.
Principal Machine Learning Engineer, Foundation Models Cambridge Mobile TelematicsPrincipal Machine Learning Engineer, Foundation ModelsCambridge, MA$177,000–$221,300 / yearPioneer advanced self-supervised learning techniques, including the design and implementation of innovative tasks tailored to multi-modal telematics sensor data to learn rich representations of movement and driver behavior. Experience building and maintaining large-scale data processing pipelines and machine learning infrastructure using tools like Spark, Airflow, Docker, and cloud platforms (e.g., AWS, GCP, Azure).
Machine Learning Engineer IconstaffMachine Learning EngineerCambridge, 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.
NewMachine Learning Engineer ManulifeMachine Learning EngineerBoston, MassachusettsDevelop, build and maintain scalable data pipelines supporting underwriting, analytics, and machine learning systems; Develop and deploy backend services and microservices to support data ingestion, retrieval, and ML inference workflows; Deploy, monitor, and maintain machine learning pipelines and backend services in production environments; Conduct root‑cause analysis of data, model, and pipeline issues and implement corrective solutions; Collaborate with data scientists, underwriters, and engineering teams to translate business requirements into technical solutions; and. Master’s degree or foreign equivalent in Data Science, Information Studies, Information Science, Computer Science, Machine Learning, or a closely related field and 3 years of Python programming experience for backend systems, automation, or machine learning workloads.
NewStaff Machine Learning Engineer SamsaraStaff Machine Learning EngineerBoston, MARemoteYou believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. • You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
Machine Learning Scientist III Wayfair LLCMachine Learning Scientist IIIBoston, MAYou will also mentor and share your knowledge with junior team members, collaborating with cross-functional teams, including engineering, product management, and business peers, to integrate these insights into company-wide decision-making processes and systems. The ML Scientist III in Wayfairs Applied Research organization independently designs and implements sophisticated machine learning algorithms that empower systems to learn from data and generate predictions or decisions.
Senior AI / Machine Learning Engineer Absentia LabsSenior AI / Machine Learning EngineerBoston, MassachusettsThis role is intended for engineers who have trained large models in real production environments, understand the realities of scale, and can reason about both learning dynamics and systems constraints. Design, train, and evaluate large-scale models, including Large Language Models (LLMs), diffusion models, and Graph Neural Networks (GNNs).
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.
Machine Learning Engineer STRMachine Learning EngineerBoston, MA$115,000–$140,000 / yearOur projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face.
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, Massachusetts$110,000–$180,000 / yearMust 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.
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.
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 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).
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.