5+ YOERequires 5+ years building machine learning software, strong software engineering fundamentals, Docker and Kubernetes, distributed training with Ray or similar, performance engineering, and complex systems ownership.
Cartesian: Providing spatial intelligence and inventory tracking for retailers.
5+ YOEBSc/MSc in computer science, electrical engineering, or related field; 5+ years of applied ML experience; strong machine learning, Python, PyTorch, data, software engineering, and communication skills.
Kensho: Developing AI and machine learning for financial data analysis.
3+ YOEBachelor's degree in computer science, engineering, or related field; 3+ years of machine learning experience; strong Python, NLP, retrieval, production ML, and LLM orchestration skills.
3+ YOEBachelor's degree in computer science, engineering, or related field; 3+ years of hands-on machine learning, NLP, and information retrieval experience; strong Python and production ML lifecycle experience.
3+ YOEBachelor's degree or higher in computer science, engineering, or related field; 3+ years of hands-on machine learning, NLP, and information retrieval experience; strong Python and production ML lifecycle experience.
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.
VideaHealth: AI-powered diagnostic software for dental imaging and practice management.
4+ YOE4+ years building and deploying production ML systems, deep expertise in an ML engineering area, strong Python development with testing and CI/CD, familiarity with clinical/EHR data, monitoring and model reliability, and strong communication.
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
6+ YOE2+ MgmtBachelor's degree, 6+ years designing data-intensive distributed solutions, 4+ years programming in Python, Scala, or Java, and 2+ years building and optimizing machine learning systems.
Capital OneNYSE: COF: Provides credit card, banking, and auto loan services.
6+ YOE2+ MgmtBachelor’s degree, 6+ years designing distributed data-intensive solutions, 4+ years programming in Python, Scala, or Java, and 2+ years building and optimizing machine learning systems.
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.
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.
New York City or Richmond or San Jose or Cambridge or McLean or San Francisco
$179k-$246k/yrOnsiteFull Time
Capital OneNYSE: COF: A diversified financial services providing banking and credit products.
6+ YOEBachelor’s degree, 6+ years designing data-intensive distributed solutions, 4+ years programming in Python, Scala, or Java, and 2+ years building and optimizing machine learning systems.
Chicago or Washington or Tallahassee or Sarasota or Hartford or Nashville or Costa Mesa or San Jose or Atlanta or Boston or Burlington or Cleveland or Columbus or Dallas or Denver or Fort Lauderdale or Fort Wayne or Grand Rapids or Indianapolis or Knoxville or Lexington or Livingston or Plano or Louisville or Los Angeles or Miami or The Woodlands or New York City or Oakbrook Terrace or Sacramento or San Francisco or South Bend or Springfield or Tampa or Houston or Austin or Charlotte
$62k-$100k/yrOnsiteFull Time
Crowe: Global professional services firm providing audit, tax, and consulting.
Programming and software engineering experience, preferably in Python; algorithm and data structure knowledge; Linux and Docker experience; RESTful API development; autonomy, communication, adaptability, and machine learning curiosity.
8+ YOEPhD (8+ yrs) or MS (10+ yrs) in a relevant technical field; 8+ years designing, building, and deploying ML/DL/Gen-AI models; hands-on experience with production ML/LLM ops, scalable systems, and leading technical teams.
Inari: Designs gene-edited seeds to increase crop yield and sustainability.
6+ YOEMS/PhD (or BS with equivalent experience), 6+ years ML engineering experience deploying and maintaining production ML systems; advanced Python and ML frameworks; experience with cloud, containerization, and MLOps tools; ability to collaborate with life scientists.
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.
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.
San Francisco or New York City or San Jose or Seattle or Austin or Boston
$115k-$200k/yrHybridFull Time
Absentia Labs: AI-native toxicology platform accelerating drug safety and discovery.
5+ YOE5+ years ML industry experience, proven production-scale model training, expertise with LLMs/diffusion/GNNs, strong PyTorch skills, distributed training and data-pipeline experience, and solid software engineering practices.