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.
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 Engineer STRMachine Learning EngineerWoburn, Massachusetts$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.
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 Quantitative Research Analyst State StreetMachine Learning Quantitative Research AnalystCambridge, MassachusettsMust 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.
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.
Bayesian Data Scientist MORSE CorpBayesian Data ScientistArlington, Massachusetts$90,000–$210,000 / yearMORSE is searching for an experienced Data Scientist with expertise in Bayesian statistics, probabilistic modeling, data analysis, data science, and algorithm development in one or more of a variety of fields including generative AI, computer vision,, natural language processing, machine translation, time sequenced data, big data, and advanced metrics. Perform data analysis, test and evaluation of existing machine learning algorithms, and development of advanced algorithms to model physical and autonomous systems, Develop and implement advanced probabilistic models to identify limitations within AI models and enhance their explainability.
Post-Doctoral Fellow Worcester Polytechnic InstitutePost-Doctoral FellowWorcester, MA$65,000–$75,000 / yearThe postdoc is expected to lead research activities, including multimodal data integration and pre-processing, development and validation of predictive machine learning models, communication of the machine learning results to a multidisciplinary team of computational and clinical experts, collaboration on the interpretation of the results in the context of clinical medicine, and preparation of manuscripts for publication. One opening is available now for a postdoctoral researcher who will apply machine learning to predict clinical pain related outcomes, participate in an ongoing clinical trial, and assist with app development.
Internship - Foundation Models for Humanoid Robots Mitsubishi Electric Research LaboratoriesInternship - Foundation Models for Humanoid RobotsCambridge, MA$6,000–$8,000The intern will collaborate closely with MERL researchers to develop novel algorithms that integrate Vision-Language-Action (VLA) models, world models, and robot control for robust long-horizon manipulation on real humanoid platforms. The internship will focus on developing humanoid systems for material handling tasks such as box/cart transportation, kitting, tool manipulation, failure recovery, and other mobile manipulation tasks in warehouse and manufacturing environments.
Learning Design Specialist The RealReal, Inc.Learning Design SpecialistBoston, MA$65,000–$85,000 / yearAct as an internal performance consultant and dedicated team player alongside Subject Matter Experts and enterprise leaders, developing positive, cross-functional relationships to rapidly ground learning materials in proprietary technical documentation and transform raw data into actionable tools. Architect learning journeys that feel invisible by integrating modern performance support tools, job aids, and micro-learning directly into daily workflows to solve business friction at the exact moment of need.
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).
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.
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.
AI & Machine Learning Teaching Expert (Part-time) TripleTenAI & Machine Learning Teaching Expert (Part-time)BostonRemoteDepth across the AI engineering spine: agentic systems (L3, LangChain/CrewAI/ADK frameworks, orchestration, self-correction), agent reliability and guardrails, MCP; LLM evals (eval harness, LLM-as-judge, hallucination metrics), applied fine-tuning (SFT/LoRA); AI coding tools in the SDLC, LLM observability, A/B experiment design. We're looking for the person who brings an AI and Machine Learning curriculum to life for students: hosts the live sessions, reviews the work, runs the model and system review boards, and sets the technical bar for the people supporting alongside them.
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.
NewSenior Financial Data Analyst Macpower Digital Assets Edge Private LimitedSenior Financial Data AnalystBoston, MA$65 / hourSkills: SQL, Jira, Financial Data, Data Mapping, Data Quality Checks, Data Mining, Data Refining, Data referencing, Investment and Asset management ops team, Charles River Trading System. Successful candidates are expected to possess a robust skill set, including expertise in financial data, data mapping, research, data quality assurance, data mining, and refinement.
R&D Software Engineer (FT) DelsysR&D Software Engineer (FT)Natick, MassachusettsSoftware Engineers in this role will focus on building robust backend systems, embedded processing pipelines, and real-time applications for physiological monitoring, human movement tracking, VR/AR experiences, speech analysis, and neural interface technologies. Successful candidates will collaborate closely with developers, R&D engineers and scientists, gaining hands-on experience in translating research innovations into deployable technologies.
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.
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.