3 full stack data scientist jobs at 3 companies in Tracy, CA

PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
HiringCafe
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.
Python, PyTorch, Elasticsearch, LLMs
PromotedHiringCafe
Founding Full-stack / Product Engineer
Cupertino, CA, US
$130k-$300k/yr On-SiteFull Time
HiringCafe
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).
React, Next.js, TypeScript, Firebase, Elasticsearch, Redis, Stripe
4d
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Scientific Software Engineer - Full Stack
Emeryville, California, United States
$160k-$195k/yr OnsiteFull Time
Arcadia Science
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.
Python, TypeScript, LLMs, AutoOpenRaman
3mo
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Principal Machine Learning Scientist, Drug Discovery Analytics
Redwood City, California, United States
$273k-$321k/yr OnsiteFull Time
Revolution Medicines
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.
PyTorch, TensorFlow, scikit-learn, NumPy, Pandas
2mo
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Research Scientist / Engineer - Training Systems
Palo Alto, California, United States
OnsiteFull Time
Rhoda AI
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.
PyTorch, JAX, CUDA, Triton