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.
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) Capital One Financial CorpLead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS)Cambridge, MA$197,300–$225,100 / yearIn this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.
Senior Software Machine Learning Engineer (Teradyne, North Reading, MA) Teradyne, Inc.Senior Software Machine Learning Engineer (Teradyne, North Reading, MA)North Reading, MA$133,900–$223,900 / yearDrive applied research and model innovation, explore and evaluate new architectures, algorithms, and training methodologies, and translate promising approaches into production systems. Lead end-to-end development of production ML systems: data ingestion and feature engineering, model architecture design, training pipelines, evaluation frameworks, and deployment.
Senior Machine Learning Engineer VideaSenior Machine Learning EngineerBoston, MassachusettsVidea is supported by some of the best investors in the world, having raised over $67M in Venture Capital from Tier 1 investors such as Spark Capital (Twitter, SnapChat, SmileDirectClub), Zetta Venture (Kaggle), and Pillar VC (PillPack), as well as angel investors such as Frederic Kerrest (Co-founder of Okta). Deep, demonstrable expertise in at least one area of ML engineering, such as predictive and tabular modeling, multimodal systems, training and inference infrastructure, or model evaluation and reliability, along with the breadth to contribute across the stack.
Senior Machine Learning Engineer - Scene Understanding Zoox IncSenior Machine Learning Engineer - Scene UnderstandingBoston, MA$189,000–$290,000 / yearCollaborating with world-class engineers and researchers across sensors, planning, and other teams, you''ll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions. Lead the full post-training stack for VLMs and VLAs, including Continual Pre-training (CPT) on domain-specific driving data, Supervised Fine-Tuning (SFT) for instruction following.
Machine Learning Engineer EBSCO Industries IncMachine Learning EngineerMAHeadquartered in Birmingham, Alabama, Moultrie (www.moultrie.com) is the leader in game feeders and cellular camera innovation, building products used by hunters, property owners, and others for real-time remote monitoring. Design and train object detection and classification models (YOLOv8, RT-DETR, or similar) to identify deer presence, sex, age class, and antler characteristics in trail camera imagery.
Lead Machine Learning Engineer (Finance Tech - AI Enablement) Capital One Financial CorpLead Machine Learning Engineer (Finance Tech - AI Enablement)Cambridge, MA$197,300–$225,100 / yearIn this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI.
Lead Machine Learning Engineer Capital One Financial CorpLead Machine Learning EngineerCambridge, MA$197,300–$225,100 / yearIn this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI.
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, Technical Lead Paperless PartsStaff Machine Learning Engineer, Technical LeadBoston, MA$195,000–$263,000 / yearCollaborative Partner: You seamlessly collaborate with researchers, other engineering teams, and business stakeholders, helping ensure we build the right technology, deploy it scalably, and bring it to market. Step into the role of Technical Lead for our newly formed engineering pod, building the core manufacturing intelligence engine powering the future of Paperless Parts.
Software Machine Learning Engineer (Teradyne, North Reading, MA) TeradyneSoftware Machine Learning Engineer (Teradyne, North Reading, MA)North Reading, MA$116,500–$186,400 / yearYou will work closely with cross-functional teams to build scalable ML systems that model complex relationships in engineering data, optimize decision-making processes, and provide transparent, explainable insights. ATTENTION APPLICANTS WITH DISABILITIES: If you’re unable to access our on-line application due to a disability you may visit one of our locations or our Corporate Office at 600 Riverpark Drive, North Reading, MA and request a paper application form.
Machine Learning Scientist, Applied Machine Learning and Agentic AI, Pharma R&D Tempus AI IncMachine Learning Scientist, Applied Machine Learning and Agentic AI, Pharma R&DBoston, MA$100,000–$150,000 / yearThe Machine Learning Scientist, Applied Machine Learning and Agentic AI will contribute to the technical development of cutting-edge agentic frameworks designed to automate the discovery of novel prognostic and predictive models in oncology. You will apply advanced scientific methodologies to develop new predictive models and utilize causal inference frameworks to analyze vast multimodal oncology data, helping to scale scientific discovery from a manual process to a high-throughput, automated engine.
Machine Learning Engineer - Hybrid XPO Inc.Machine Learning Engineer - HybridBoston, MA$100,000–$120,000 / year1 year of experience in software or machine learning engineering, including hands-on experience building data pipelines, ML infrastructure, or MLOps tooling. Strong collaboration skills, with experience partnering with data science/applied science teams and data engineering teams.
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.
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.
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.
Senior Machine Learning Engineer ASUSTeK ComputerSenior Machine Learning EngineerBoston, MA$161,000–$246,000 / yearWe are looking for a seasoned engineer who brings deep technical expertise, sound engineering judgment, and a proven track record of delivering production ML systems in complex, real-world environments. Our multidisciplinary team of the brightest engineers and scientists is dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence.
NewStaff Machine Learning Engineer - Music Mission SpotifyStaff Machine Learning Engineer - Music MissionBoston, MA$227,495–$324,993 / yearAs a Staff Machine Learning Engineer, you’ll help shape the Machine Learning technical strategy for this high-impact area, partnering across engineering, product, data science, research, and design to create tools that help artists grow their audiences while supporting Spotify’s core business. Our products serve artists at scale through Spotify for Artists, and we’re building on the momentum of Discovery Mode to help artists and their teams find new listeners when it matters most.
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.
Senior / Staff Machine Learning Engineer - Scene Intelligence ZooxSenior / Staff Machine Learning Engineer - Scene IntelligenceBoston, MA$199,000–$305,000 / yearCollaborating with world-class engineers and researchers across sensors, planning, and other teams, you'll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions. Lead the full post-training stack for VLMs and VLAs, including Continual Pre-training (CPT) on domain-specific driving data, Supervised Fine-Tuning (SFT) for instruction following.