Calico: Researching aging biology to develop longevity-improving therapies.
5+ YOEPhD in computational biology, bioinformatics, computer science, or related field; strong publication record; 0-5 years (Scientist) or 5+ years (Senior Scientist) in industry or academia; deep ML expertise; genomics knowledge; onsite four days/week.
Python, TensorFlow, PyTorch, Genomics data, DNA sequence analysis
Tacit: Developing advanced hardware to rethink human-computer interaction.
PhD or equivalent experience in ML/computational neuroscience, expertise in deep learning, proficiency in PyTorch/TensorFlow and Python, experience deploying models, strong communication and collaboration skills.
Onepot: An automation combining artificial intelligence and advanced robotics to accelerate chemistry research.
Strong machine learning fundamentals, modern empirical ML expertise, model training experience, and familiarity with PyTorch or other ML frameworks; no formal education required.
FreenomeNASDAQ: FRNM: Develops blood tests for early cancer detection using machine learning.
6+ YOEPhD in quantitative field with 6+ years post-PhD industry/postdoc experience in applied ML/DL; demonstrated publications or impact; proficiency in Python/R/C/C++/Java; experience with deep learning, supervised/self-supervised/contrastive learning.
Unlearn: Creates AI digital twins to accelerate clinical drug trials.
2+ YOEBachelor's degree in a relevant field, 2+ years developing machine learning models, software engineering fundamentals, Python ML and data science proficiency, and successful academic or industrial ML project execution.
BigHat Biosciences: Develops antibody therapies using artificial intelligence and synthetic biology.
5+ YOEPhD in ML/CS or hard sciences with 5+ years post-PhD experience, strong ML research record, Python/PyTorch proficiency, biomedical domain knowledge, and leadership/mentorship experience.
Hinge HealthNYSE: HNGE: Digital provider of musculoskeletal care and physical therapy
7+ YOEBachelor's in a quantitative field, 7+ years building and deploying ML systems at consumer scale, shipped recommendation/sequential-decision systems, strong experimentation and statistics, proficiency in Python and SQL.
RocheSIX Swiss Exchange: ROG: Develops and manufactures pharmaceutical medicines and diagnostic solutions.
PhD or equivalent in a quantitative field; deep ML expertise; hands-on quantum chemistry experience (Psi4, PySCF, ORCA, xTB); fluent in Python and PyTorch or JAX; publication record; experience building scalable ML pipelines and synthetic datasets.
Machine Learning Scientist - Apple Services Engineering, GenAI & ML Frameworks
San Francisco, California, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Experienced ML scientist working on LLMs and GenAI, collaborating with product, infra, and foundation model teams to improve model reasoning, domain knowledge, tool use, and system integration.
7+ YOEPhD in a quantitative field, 7+ years post-PhD research experience building ML methods for biology; deep expertise in foundation models, sequence modeling, regulatory genomics, and proven scientific leadership and publication record.
Wayve: Develops end-to-end artificial intelligence for autonomous driving systems.
2+ YOEMasters (with ~6+ years) or PhD (with 2+ years) in CS/ML/robotics/math; strong ML and software fundamentals; production ML experience; fluency in Python and a deep-learning framework (PyTorch); experience with large-scale data and foundation-model workflows.
Python, PyTorch, turbopuffer, Milvus, Ray Data, Daft, Spark, Lance, Iceberg
OpenAI: Develops artificial intelligence models and generative AI software services.
7+ YOEAdvanced quantitative degree, 7+ years of applied data science experience, forecasting and predictive modeling expertise, Python and SQL proficiency, production model monitoring, and strong executive communication skills.
Senior Machine Learning Scientist I, Drug Discovery Analytics
Redwood City, California, United States
$229k-$269k/yrHybridFull Time
Revolution MedicinesNASDAQ: RVMD: Developing precision oncology therapies for RAS-addicted cancers
6+ YOEPhD in a quantitative field; 6+ years applying ML to scientific datasets; expertise in Python and scientific libraries; experience with PyTorch/TensorFlow/scikit-learn, model development/validation, and noisy experimental data.
San Francisco or Sunnyvale or Los Angeles or Seattle or New York City
$204k-$299k/yrOnsiteFull Time
DoorDashNYSE: DASH: Local food delivery and on-demand logistics platform.
Requires deep causal inference, econometrics, experimentation, or causal ML experience; production ML engineering ability; rigorous model evaluation; and cross-functional product and technical judgment.
San Francisco or Sunnyvale or Los Angeles or Seattle or New York City
$204k-$299k/yrOnsiteFull Time
DoorDashNASDAQ: DASH: On-demand delivery platform connecting consumers with local merchants.
Requires deep practical causal inference, econometrics, experimentation, or causal ML experience; production ML engineering; rigorous model evaluation; and cross-functional product and marketplace decision-making skills.
CATHEXIS: Provides consulting and technology services to federal government agencies.
2+ YOEBachelor's in CS/EE/Statistics (MS/PhD preferred), ~2 years relevant experience, strong Python and applied ML skills, scalable ML experience, strong math and communication skills.
Python, MapReduce, Amazon AWS, Microsoft Azure, Google Cloud Services
Wayve: Develops AI software for autonomous vehicle navigation.
2+ YOEMasters + ~6 years or PhD + 2 years in CS/ML/robotics/math; strong ML and software fundamentals; production ML experience at scale; Python and PyTorch fluency; experience with large-scale data, model evaluation, and data curation/enrichment.
Director / Senior Director, Machine Learning for Biology
Redwood City or San Diego or San Francisco
$274k-$470k/yrOnsiteFull Time
Altos Labs: Developing cell rejuvenation therapies to reverse diseases and aging.
10+ YOE4+ MgmtPhD in machine learning, computer science, computational biology, bioinformatics, or related quantitative field; 10+ years’ experience for Director or 14+ for Senior Director, including people leadership.