356 ml research scientist jobs at 112 companies in Millbrae, CA
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ML Research Scientist (MLRS) - Generative AI
San Francisco or New York City
$165k-$259k/yrHybridFull Time
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.
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.
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.
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.
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.
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.
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.
Scale AI: Provides data and infrastructure for training artificial intelligence models.
5+ YOE5+ years research experience (PhD preferred) in ML/DL/generative models/agents/RL, track record of top-tier publications, experience leading research teams, excellent written and verbal communication.
Granica: Provides an AI efficiency platform for optimizing enterprise training data.
PhD in ML/statistics/applied math or related field; strong generative ML research record; experience with diffusion models; hands-on PyTorch or JAX and Python; ability to turn research into production systems.
MetaNASDAQ: META: Develops social networking platforms and virtual reality technologies.
2+ YOEMaster's or PhD in electrical engineering, computer science, or equivalent experience; 2+ years in ML acceleration or related domains; C/C++ or Python experience; work authorization required.
VisaNYSE: V: Global payment technology facilitating electronic funds transfers.
PhD in a quantitative field, extensive experience in ML/deep learning and generative models, strong publication record, and software engineering skills (Python); ability to lead research and collaborate cross-functionally.
LVIS: AI software for diagnosing and treating neurological brain disorders.
5+ YOEPhD in EE/CS/Math/Physics/Statistics,5+ years time-series and signal processing experience,proficient in Python with PyTorch/SciPy/Numpy,ML/DL expertise,algorithm development and strong communication.
Hewlett Packard EnterpriseNYSE: HPE: Providing global edge-to-cloud infrastructure and IT solutions for businesses.
PhD in CS/EE or related, extensive LLM and RL research experience, strong Python and PyTorch skills, experience with GPU acceleration and model optimization, publishing and prototyping background.
Hewlett Packard EnterpriseNYSE: HPE: Provides global edge-to-cloud technology solutions and IT infrastructure services.
PhD in CS/EE or related, extensive research in LLMs and reinforcement learning, strong Python and PyTorch skills, experience with GPU acceleration and ML model optimization, publication and prototyping track record.
Center for AI Safety: Conducts research and advocacy to mitigate AI risks.
PhD-level or equivalent research record with multiple top-conference publications or substantial AI lab research; empirical deep-learning experience, ability to run and debug ML experiments, and strong communication.
Research Scientist Graduate (ML Recommendation Systems) - 2027 Start
San Jose, California, United States
OnsiteFull Time
ByteDance: Developing AI-driven content platforms and mobile applications.
Undergraduate or master's degree in computer science or related field; strong machine learning and NLP foundations, research ability, problem-solving, communication, and collaboration skills.
Research Engineer / Research Scientist - Personal AGI, Personalization
San Francisco, California, United States
$295k-$555k/yrHybridFull Time
OpenAI: Develops artificial intelligence models and generative AI software services.
Experience in frontier model post-training, personalization and memory research; strong ML and product-driven research skills; ability to iterate quickly, build evaluations, and work with large ML codebases and human data.
Sprinter Health: Mobile provider of in-home diagnostic and preventive healthcare services.
Deep ML research experience, strong track record of novel contributions, ability to run experiments at scale, clinical collaboration experience, and familiarity with healthcare validation and external evaluation.
Anthropic: Developing safe and reliable artificial intelligence systems.
PhD or equivalent industry research experience in computational biology or related field; track record of end-to-end computational biology research; proficiency with Linux, cloud compute, and scientific programming; strong communication with biologists and ML researchers.