361 ml research scientist jobs at 114 companies in Berkeley, 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.
Clera: AI talent agent matching professionals with high-growth startup roles
0+ YOEExperience may range from 0–12 years. Requires strong fundamentals and execution; research candidates need ML or related expertise, while engineering candidates need software skills building ML systems or scalable data infrastructure.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Solving novel technical challenges, contributing to product development, and collaborating with cross-functional teams to create innovative customer experiences.
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.
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.
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.
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.
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: 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.
Genesis Molecular AI: Generative AI platform for small molecule drug discovery.
Expertise in 3D ML and molecular simulation (MD, enhanced sampling, FEP/TI), proficiency in Python and scientific libraries, experience with simulation tools and structure-based drug design; PhD preferred and demonstrated research or industry impact.