1,057 research scientist jobs at 310 companies in Berkeley, CA
🚀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.
Resolution: Conducts research on aligning artificial superintelligence with human intent.
Graduate degree (bachelor's required; PhD or equivalent preferred) in a relevant field, track record of research and technical writing, strong mathematical background, experience with empirical or theoretical research, willingness to use AI tools.
Pacific Institute for Research and Evaluation: Independent non-profit research institute focused on public health improvement.
5+ YOEAdvanced degree (PhD, MD, JD) or equivalent; at least five years in relevant research; ability to independently develop a research program; proven record of peer-reviewed funding; eligible to work for any US employer.
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.
Parallel: Build web infrastructure and search APIs for AI agents.
Deep intuition on modern models and training; expertise in transformer, search, and recommendation model interactions; focus on applied research that can be productized at scale.
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.
DatologyAI: Automated data curation for efficient AI model training.
3+ YOE3+ years deep learning research; strong fundamentals; experience in data pruning/curation, curriculum learning, synthetic data, dataset distillation, embedding models, and PyTorch; ability to run large-scale experiments.
Tabula Bio: An AI-first therapeutics using physics-based modeling and experimental data to design bacteriophage therapies.
Ph.D. in physics or related (or equivalent research experience); strong numerical methods, large-scale simulation, PDE modeling, statistical mechanics, optimization, HPC; fluency in Python; PyTorch familiarity a plus; collaborative with wet lab.
Galvanize Therapeutics: Developer of pulsed electric field energy medical devices.
4+ YOEMS or higher in biological sciences or biomedical engineering, 4+ years research experience, expertise in in vitro/in vivo methods (ELISA, microscopy, flow cytometry), ability to lift up to 70 lbs, local travel ~30%.
ELISA, fluorescent microscopy, flow cytometry, Pulsed Electric Field Systems
PhD in computer science or related field, coding experience in Python/JavaScript/R/Java/C++, scientific publication history, and research ownership experience preferred.
AfterQuery: Curating specialized datasets and environments to train frontier AI models.
Experience with LLM training and evaluation, ability to design and run SFT and RL experiments, strong analytical and communication skills, preference for candidates with undergraduate or master's research experience.
Collinear: Builds simulation platforms to improve AI agent reliability.
Bachelor’s, Master’s, or PhD in a technical field; strong software engineering; ML foundation models; RL or simulation experience; Python CLI-first development; reproducible research.
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.
Chan Zuckerberg Biohub: Builds AI-powered technologies for biomedical research and disease study.
PhD in computer science or related field or equivalent experience; strong background in building and scaling deep learning systems; solid engineering fundamentals; comfortable with ambiguity; strong communication.
Python, Deep Learning Frameworks, PyTorch, TensorFlow, GPU Computing, RL, Multi-agent systems