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
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.
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
Expedia GroupNASDAQ: EXPE: Operates a global platform for travel bookings and services.
5+ YOEBachelor’s degree or equivalent, 5+ years ML experience; strong Python and SQL skills; experience with pandas, scikit-learn, PySpark; end-to-end ML lifecycle, A/B testing, deployment, and monitoring; PhD/MS preferred.
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.
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
Advanced degree in a quantitative field, proficiency in Python/Scala/Java, deep ML and optimization knowledge, experience deploying algorithms on large-scale production data, and experience building bidding algorithms.
Profluent: Designs functional proteins using deep generative AI models.
3+ YOEPhD (or equivalent industry experience) in CS/ML/Comp Bio or related, 3+ years industry experience preferred, publications at top ML venues, experience with PyTorch or JAX, cloud platforms, and developing ML models for biological data.
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.
Staff, Data Scientist (Pricing/Reinforcement Learning)
Bentonville or Sunnyvale
$110k-$286k/yrOnsiteFull Time
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
4+ YOERequires a bachelor's degree and 4 years, master's degree and 2 years, or 6 years of analytics experience. Requires expertise in pricing, applied machine learning, optimization, Python, and production model development.
Python, Spark, Scala, R, scikit-learn, TensorFlow, PyTorch, Microsoft Azure, Google Cloud Platform, MLOps, CI/CD, Feature Stores, GNNs, PPO, DQN
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.
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
NetflixNASDAQ: NFLX: Global video streaming and media production service.
Advanced degree in a quantitative field; proficiency in Python, Scala or Java; experience building bidding algorithms on large-scale data; strong communication skills.
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.
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.
Johnson & JohnsonNYSE: JNJ: Develops and manufactures pharmaceutical drugs and medical devices.
5+ YOEBachelor's or master's degree in a technical field and 5+ years in data science, engineering, or analytics. Requires Python, SQL, distributed data frameworks, data modeling, cloud platforms, machine learning, and cross-functional communication.
Python, SQL, Apache Spark, Databricks, AWS, Microsoft Azure, Power BI, Delta Lake, ERP, CRM
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.
Lam ResearchNASDAQ: LRCX: Designs and manufactures wafer fabrication equipment for the semiconductor industry.
2+ YOEBachelor's degree plus 2 years or Master's in a quantitative field, 2+ years experience, strong data analysis, statistical modeling, machine learning, Python and data-library experience, SQL and cloud preferred.
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.