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.
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.
Ph.D. in a quantitative discipline, deep expertise in deep learning and foundation models, experience deploying large-scale AI, strong programming and collaboration skills.
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.
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.
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).
Scientist II / Senior ML Scientist, Cofolding and Structure-Aware ML
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/computational biology/chemistry; hands-on deep learning for molecular and protein structure; experience with contrastive/self-supervised methods and DEL or related datasets; practical PyTorch or JAX experience.
Engram: Developing persistent memory layers for enterprise AI systems.
Deep ML background with research track record; expertise in continual learning, memory architectures, parameter-efficient fine-tuning, retrieval, synthetic data, or agents; strong systems understanding and technical communication.
World Labs: Building foundational AI models to perceive and simulate 3D worlds.
6+ YOE6+ years in robot learning or manipulation, strong robotics and sim-to-real expertise, experience with policy design, Python/C++ and deep learning (PyTorch), ability to productionize training pipelines.
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
3+ YOEExperience designing and deploying ML and GenAI/LLM solutions, proficiency in Python/Java, Deep Learning frameworks, cloud platforms, and strong analytical and communication skills.
Oakland or Washington or Ohio or District of Columbia or California or Long Beach or Arizona or Colorado or Connecticut or Florida or Georgia or Maryland or Minnesota or Nevada or Oregon or El Dorado Hills or San Diego or Woodland Hills or Alabama or Illinois or Virginia or Wisconsin or Texas or New York
$182k-$273k/yrHybridFull Time
Ascendiun: Nonprofit parent overseeing health insurance and clinical service organizations.
8+ YOEAdvanced experience in applied AI/ML and software development, strong Python engineering, hands-on with deep learning and LLM frameworks, experience building production AI applications and leading ML design.
San Francisco or Ottawa or Phoenix or Toronto or Los Angeles or Denver or Salt Lake City or Atlanta or Chicago or Houston or Portland or New York City or Vancouver or San Diego or Washington, D.C. or Sacramento or Jacksonville or Seattle or Mexico City or Austin or Miami or Boston or Dallas
$97k-$184k/yrHybridFull Time
Scribd: Subscription-based digital library for e-books, audiobooks, and documents.
3+ YOE3+ years building and deploying ML models at scale, proficiency in Python, SQL/PySpark, Spark/Databricks, experience with NLP, deep learning and generative models, BS/MS in quantitative field.
VisaNYSE: V: Global payment technology facilitating electronic funds transfers.
PhD in a quantitative field, extensive experience in ML/deep learning and generative models, strong publication record, and software engineering skills (Python); ability to lead research and collaborate cross-functionally.
Xaira Therapeutics: Develops AI models for protein and antibody drug discovery.
Strong background in deep learning; experience with representation learning and generative modeling; proficiency in Python, ML frameworks (PyTorch, JAX); multitask experience with multimodal data.
Conviva: Real-time analytics and operational intelligence for digital businesses.
5+ YOEPhD or MS+5 years in CS/Statistics; strong ML and deep learning experience, production-grade Python/Scala skills, experience with Ray and Spark, AI-native development using tools like Claude/Cursor, and ability to ship scalable ML solutions.
Verse: Software to plan, procure, and manage clean energy portfolios.
5+ YOE5+ years deploying ML forecasting in production, 2+ years applying forecasting in energy, expertise in time-series/deep learning, proficiency in Python, and deep knowledge of energy technologies and electricity markets.
Anthrogen: AI-driven platform for designing and validating synthetic proteins.
Proven original ML research track record, deep command of modern deep learning (generative models, architectures, optimization, scaling), and ability to run independent research from idea to result.
Center for AI Safety: Conducts research and advocacy to mitigate AI risks.
PhD-level or equivalent research record with multiple top-conference publications or substantial AI lab research; empirical deep-learning experience, ability to run and debug ML experiments, and strong communication.