906 ml research scientist jobs at 313 companies in United States
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Achira: AI foundation models for atomistic simulation and drug discovery.
Industry research experience (post-degree), demonstrated research impact (publications or released models), proficiency in Python and modern ML frameworks, strong interdisciplinary communication, and experience collaborating on multi-person research projects.
Northwestern University: Private research university providing higher education and academic research.
7+ YOE7+ years combined experience or post-baccalaureate education in informatics/AI/data science; proficiency in Python/SQL/R, ML frameworks, distributed training, MLOps, cloud platforms, model deployment, and healthcare data integrations.
Commit: End-to-end software, cloud, and cybersecurity consulting and development.
1+ YOEPhD with 1+ years research experience; experience with Transformers, GNNs, diffusion models; strong Python and C++ coding skills; PyTorch experience; at least one publication in top ML conferences.
Boston Dynamics: Building advanced mobile robots for industrial and warehouse automation.
5+ YOE5+ years in deep learning for computer vision or LLMs; Transformers, VLMs/VLAs, and Deep Reinforcement Learning; data management, training, deployment; strong communication; collaborative work.
ML Research Scientist (Embodied AI & Reinforcement Learning)
Palo Alto, California, United States
$175k-$250k/yrOnsiteFull Time
Metamorphic: Building AI foundation models using large-scale experimental neuroscience.
PhD or equivalent research experience in ML/robotics/CS/neuroscience, strong publication/technical track record in RL/embodied AI, deep learning and large-scale training expertise, proficiency in Python, simulation and policy evaluation experience.
Merge Labs: Developing high-bandwidth non-invasive brain-computer interfaces using biotechnology.
Deep learning, protein-structure modeling, molecular dynamics; Python/PyTorch/Jax; collaboration with wet-lab teams; production-grade code; transfer learning.
Phenix Space: Builds robotic systems for on-orbit satellite assembly and upgrades.
Ph.D. or Master's in CS/AI/Systems; strong foundation in large-scale ML/LLM training and agentic RL; proficiency in PyTorch or JAX and Python; systems- and hardware-aware research experience.
Peraton: National security and mission-critical government technology services provider.
3+ YOEUS citizen eligible for FAA Public Trust; degree (Bachelors+ with 8+ yrs, Masters+ with 6+ yrs, or PhD+ with 3+ yrs); strong Python software skills, additional languages (C, C++, JavaScript), LLM/API experience, AI/ML background, and local to specified MD/VA sites.
Peraton: Provides advanced technology and mission support for government agencies.
3+ YOEDegree (BSc+8 yrs / MSc+6 yrs / PhD+3 yrs), strong Python and software development skills, experience with C/C++/JavaScript, demonstrated AI/ML work, LLM API experience, US citizenship and ability to obtain FAA Public Trust, local to specified MD/VA sites.
Alpha Design AI: AI-native EDA platform for semiconductor design and verification.
Degree in CS/ML/EE or equivalent research experience; deep expertise in large language models, deep learning and AI agent architectures; experience with large-scale model training and productionizing research; strong Python and ML framework skills.
Manifold Bio: Designing tissue-targeted protein therapeutics using AI and in vivo screening.
5+ YOEPhD in ML/Computational Biology/Bioinformatics/CS; 5+ years ML research; expert PyTorch/JAX; protein design expertise; leadership/mentoring experience; strong statistics and HPC knowledge; excellent communication.
insitro: Decodes biology using machine learning to discover new medicines
PhD in CS, ML, computational biology, systems biology, or related; extensive ML method development for biological data; strong Python skills; good communication; published work.
GenBio AI: Developing AI foundation models to simulate and program biology.
PhD (or equivalent) in CS/AI/Computational Biology, proven publication record, experience translating ML research to biology, computational discovery experience, collaboration with experimental scientists, and software engineering best practices.
OpenRouter: Unified interface for accessing and routing large language models.
MS or PhD in a quantitative field, strong research record, expertise in statistics and experimental design, Python and SQL proficiency, hands-on ML/NLP experience.
Eleos AI Research: Nonprofit research organization studying AI consciousness and moral status.
Design and run empirical ML research on AI well-being; strong publication record; experimental design and engineering skills; familiarity with AI welfare/safety; PhD preferred.
Hewlett Packard EnterpriseNYSE: HPE: Provides edge-to-cloud IT infrastructure and platform services.
PhD in CS/EE or related with strong ML research background, expertise in LLMs and reinforcement learning, proficiency in PyTorch and Python, GPU/system optimization experience, strong publication record and mentoring ability.
Engram: Developing persistent memory layers for enterprise AI systems.
Deep ML background with research track record; expertise in continual learning, memory architectures, parameter-efficient fine-tuning, retrieval, synthetic data, or agents; strong systems understanding and technical communication.
ManTech: Provides technology solutions for defense and intelligence agencies.
5+ YOE5+ years research/software development/computational analysis experience; proficiency with C++, TensorFlow, PyTorch; experience with HPC and ML benchmarks; active TS/SCI with polygraph required; degree-and-experience equivalencies stated.
ML Research Engineer / Scientist (Remote, international)
United States
RemoteFull Time
a2z Radiology AI: Building comprehensive AI models for diagnostic radiology interpretation
Experience building and training ML models (PyTorch); strong experimentation, reproducibility, and critical thinking; familiarity with medical imaging and vision-language approaches is helpful.