13 full stack data scientist jobs at 12 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.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Help us build a 100× better job search engine. We need a full-stack engineer with great taste, sharp fundamentals, and a track record of shipping polished product on React/Next.js plus a real backend (Firebase, Elasticsearch, Redis, Stripe).
Probably Genetic: Provides genetic testing and diagnostic software for rare diseases.
7+ YOE7+ years in data science or ML engineering; strong Python and core data stack (pandas, NumPy, scikit-learn, PySpark, SQL); end-to-end ML production experience; NLP and prompt engineering experience; strong communication.
San Francisco or New York City or Seattle or Little Rock
$130k-$197k/yrHybridFull Time
LiveRampNew York Stock Exchange: RAMP: Provides a platform for secure data collaboration and identity.
3+ YOEMS/PhD or equivalent experience; 3+ years building and deploying ML solutions; proficiency in Python and SQL; experience with large datasets, cloud data stacks, experiment design, and strong communication skills.
InterVenn Biosciences: Developing AI-powered glycoproteomic diagnostics for personalized cancer care.
6+ YOEPhD +6 years (or MS +8 years) in a quantitative field, demonstrated methodological innovation, deep proficiency in Python/R and modern ML stack, experience with high-dimensional biological data and batch-effect correction, strong communication skills.
Wispr Flow: Provides AI-powered voice dictation software for computers and mobile devices.
5+ YOE5+ years in data science or quantitative analytics for consumer SaaS, strong SQL and Python, experience with experimentation, data stack (dbt, ClickHouse, Snowflake).
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
8+ YOE8+ years data science/analytics experience, master\u0002s or MBA in a quantitative field, expert in statistics/ML, Python or R (PyData stack), SQL, strong executive communication, experience delivering enterprise predictive initiatives.
Arcadia Science: Translates evolutionary biology into novel therapeutics and research tools.
Experience building production software, proficiency in Python and TypeScript, data pipeline and AI/LLM experience, strong product instincts and ability to partner with bench scientists.
12+ YOEPhD in Geospatial Analytics, Computer Science, Remote Sensing, or related field; 12+ years in remote sensing; experience with foundation models and multi-sensor data; strong Python and scientific stack skills; ability to lead research and mentor a postdoc.
Python, xarray, Dask, NumPy, Rasterio, GeoPandas, Deep Learning Frameworks
Lila Sciences: Develops an AI platform for autonomous scientific research and discovery.
8+ YOE8-15 years of backend-focused engineering; full stack experience; AWS, Kubernetes; API design; data pipelines; Python; collaboration with scientists and engineers.
Waterloo or New York City or San Francisco or Toronto or London
$196k-$270k/yrHybridFull Time
Faire: Online wholesale marketplace connecting independent retailers with unique brands.
5+ YOE5+ years building production ML/AI systems, hands-on applied science (data, evaluation, modeling), shipped agentic/LLM features, cross-stack engineering experience, and strong experimental and product judgment.
Principal Machine Learning Scientist, Drug Discovery Analytics
Redwood City, California, United States
$273k-$321k/yrOnsiteFull Time
Revolution MedicinesNASDAQ: RVMD: Developing precision oncology therapies for RAS-addicted cancers
8+ YOEPhD in ML, computational chemistry, computational biology, or CS; 8+ years applying ML to scientific problems; experience with chemical/biological data; Python ML stack; strong communication.
Rhoda AI: Developing generalist robotic intelligence for real-world industrial automation.
Proven experience improving large-scale distributed training performance; strong ML stack knowledge; expertise in training systems for multimodal data; ability to optimize compute, memory, and communication.