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.
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.
Extropic: Developing thermodynamic computing hardware for energy-efficient AI.
Expertise in scientific Python and a deep learning framework, strong probability and linear algebra, publications in top ML venues, experience with training/deploying high-performance models and related infrastructure.
Neo.Tax: Automating enterprise accounting and R&D tax credit calculations.
6+ YOE6+ years in data science / ML shipping production models; strong Python, SQL; experience building data pipelines; production ML, experimentation, and cross-functional collaboration.
Scale AI: Provides data and infrastructure for training artificial intelligence models.
5+ YOE5+ years as an ML engineer or applied scientist with production ML/LLM systems; experience building evaluation/monitoring or continuous-learning infrastructure; strong experimentation and collaboration skills.
Scientist II / Senior ML Scientist, Data-Efficient Learning for Drug Discovery
Cambridge or London or San Francisco
$228k-$358k/yrOnsiteFull Time
Lila Sciences: Develops an AI platform for autonomous scientific research and discovery.
PhD or equivalent experience in ML or related field; strong experience training models in low-data regimes; expertise in active learning, meta-learning, uncertainty estimation; collaboration with experimental teams.
Plaid: Provides financial data connectivity and payment infrastructure via APIs.
7+ YOESenior ML engineer with 7–12+ years (MS) or 5–9+ years (PhD); strong technical leadership; expertise in transformers/LLMs; end-to-end production ownership; Python and software engineering fundamentals; fintech domain experience a plus.
Python, PyTorch, TensorFlow, Distributed training, Pretraining infrastructure, ML platforms
ML Research Scientist (MLRS) - Representation Learning for Molecular AI
San Francisco or New York City
$165k-$259k/yrHybridFull Time
Achira: AI foundation models for atomistic simulation and drug discovery.
Industry post-degree ML research experience, proficiency in Python and modern ML frameworks (PyTorch, JAX), experience with 3D geometric deep learning and large-scale ML experiments, strong communication and research impact (publications or talks).
Manager, Data Science - Consumer Identity Machine Learning
San Jose or McLean or New York City or San Francisco
$197k-$246k/yrOnsiteFull Time
Capital OneNYSE: COF: Provides credit card, banking, and auto loan services.
6+ YOEQuantitative degree plus 1–6 years of analytics experience depending on degree; requires open-source programming, machine learning, relational databases, and large-scale data analysis.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
2+ YOEQuantitative degree required; advanced degree preferred. Requires 2+ years of data science experience, large-dataset analysis, machine learning, experimentation, problem-solving, and communicating insights to leaders.
PinterestNYSE: PINS: Visual discovery engine for finding and saving ideas.
4+ YOE4+ years analyzing web-scale data using quantitative methods, machine learning or statistical modeling, SQL, Python or R, and strong communication skills. Bachelor's degree in computer science or related field required.
VeracyteNASDAQ: VCYT: Provides genomic diagnostic tests for precise cancer diagnosis.
8+ YOEPhD in data science, machine learning, applied math, or equivalent; 8+ years in data/applied science; Python, computer vision, statistical modeling, cloud computing, and technical leadership experience.