185 machine learning jobs at 107 companies in Peabody, MA
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Machine Learning Analyst
Boston, Massachusetts, United States
$110k-$145k/yrOnsiteFull Time
Bracebridge Capital: Alternative asset manager focused on global fixed income markets.
0+ YOEBachelor's in a quantitative field, 0–2 years relevant experience, proficiency in Python and data science libraries, familiarity with machine learning and statistical modeling, strong communication and interest in financial markets.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Senior machine learning engineer with strong ML and software engineering experience applied to health-related problems and delivering production-ready solutions.
CVS HealthNYSE: CVS: Provides retail pharmacy, health insurance, and pharmacy benefit management services.
5+ YOE5+ years building ML systems in production, 5+ years Python, familiarity with PyTorch/TensorFlow, MLOps (Kubeflow, Vertex), 2+ years SQL with Snowflake/BigQuery, 2+ years system design leadership, experience in reinforcement learning/causal inference/LLMs, mentoring experience, strong communication.
Harvard University: Provides higher education and conducts advanced academic research.
7+ YOESeven+ years of post-secondary education or relevant work experience; Masters/PhD strongly preferred; Python ML stack (PyTorch, NumPy); experience with large medical datasets and LLMs; collaboration with clinicians and researchers; track record of publications.
Jaxon: Develops trustworthy AI for government and industry in high-stakes environments.
5+ YOEML/AI engineering with NLP focus; Python proficiency; data processing, model evaluation, and LLM experience; cloud; strong communication; security clearance a plus.
DEKA Research & Development: Designs and develops advanced medical and robotic technologies.
6+ YOEM.S. in CS/AI, 6+ years backend/distributed systems experience, strong Java (Spring Boot, Spring MVC, Hibernate) and Python skills, production ML (PyTorch), Apache Kafka/Spark/ZooKeeper, databases (Oracle, IBM Db2, MSSQL, MongoDB), cloud (AWS).
Java, Spring Boot, Spring MVC, Hibernate, Python, PyTorch, Apache Kafka, Apache Spark, ZooKeeper, REST, SOAP, Oracle, IBM Db2, MSSQL, MongoDB, AWS
MatrixSpace: AI-powered radar systems for airspace safety and drone detection.
3+ YOEBS/MS/PhD in CS or related field, 3-5 years building and deploying ML systems, strong C++ and Python skills, experience with AI agents/LLM apps, and excellent collaboration and problem-solving skills.
Cartesian: Providing spatial intelligence and inventory tracking for retailers.
PhD-level ML researcher with expertise in time-series models, transformer and probabilistic architectures, publications in top venues, production-quality coding, and cross-discipline collaboration.
Quantum Machines: Provider of control hardware and software for quantum computers.
4+ YOEPhD or Master's in ML/Physics/Applied Physics/Quantum Information Science, 4+ years relevant experience, strong ML/DL and RL background, Python proficiency, software engineering fundamentals, and experience deploying ML under real-world constraints.
Red Hat: Provides enterprise-grade open source software and cloud solutions.
2+ YOE2 years experience developing and refactoring Python code, applying software engineering practices, debugging, implementing basic testing, and translating research code into production-quality modules; Bachelor's in CS/Math or related.
Systems & Technology Research: Develops advanced technology for national security and defense applications.
Develop and deploy AI/ML models, analyze large noisy datasets, build scalable services, and collaborate with customers; U.S. citizenship and security clearance eligibility required.
Ayo Semiconductor: Building photonic processors to accelerate AI computing workloads.
PhD in ML or equivalent industry experience; distributed training on GPUs; built and trained neural networks; Python proficiency; PyTorch, TensorFlow, or JAX experience.
State StreetNYSE: STT: Provides investment servicing and management to institutional investors.
3+ YOEMaster's in a quantitative field plus 3 years buy-side or sell-side quantitative research experience; hands-on ability with Python, MATLAB, SQL, Microsoft Excel/PowerPoint; machine learning and econometrics experience.
Microsoft Excel, Microsoft PowerPoint, MATLAB, Python, SQL
Iambic Therapeutics: Develops novel medicines using an AI-driven discovery platform.
3+ YOEMS in chemistry/bio/chemical engineering or PhD/equivalent; 3+ years relevant experience; strong Python and deep-learning fine-tuning skills; clinical dataset experience; data science and engineering best practices; familiarity with Docker, CUDA, Kubernetes, and Weights & Biases.
Expedition Medicines: Develops covalent small molecule drugs using generative AI.
2+ YOEPh.D. (2+ yrs industry) or M.S. (6+ yrs) in ML/computational chemistry/CS/applied math; expertise in molecular ML, quantum chemistry/DFT, generative models; Python and PyTorch experience; data curation and cross-functional collaboration.
DraftKingsNASDAQ: DKNG: Provide online sports betting, fantasy sports, and casino gaming.
3+ YOE3+ years building production Python applications with structured data (SQL). Strong software engineering, MLOps familiarity, feature/ETL pipeline experience, model deployment/monitoring, and a relevant Bachelor's (Master's preferred).
5+ YOEPhD (5+ yrs) or MS (8+ yrs) in CS/Stats/Economics (or related), 6+ yrs ML experience, 4+ yrs GenAI experience, expertise in LLMs, RL, recommendations, causal inference, model deployment, and strong problem-solving and collaboration skills.
San Jose or San Francisco or McLean or Cambridge or New York
$215k-$246k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
6+ YOEBachelor's degree,6+ years building distributed data-intensive solutions,4+ years programming with Python/Scala/Java,2+ years building/optimizing ML systems; experience with ML frameworks and cloud deployments preferred.
OneScreen.ai: Platform for buying and measuring out-of-home advertising.
Ownership of a production ranking/matching/recommendation system; strong Python (NumPy, Pandas, FastAPI, SQLAlchemy), SQL and modern data warehouse experience (BigQuery preferred); modeling and evaluation rigor for ranking and retrieval.