Unlearn: Creates AI digital twins to accelerate clinical drug trials.
2+ YOEBachelor's or advanced degree in related field,2+ years data wrangling and harmonization,fluency in Python with numpy and pandas,experience with clinical datasets and collaborative software development.
United Kingdom or London or San Francisco or Canada or Poland
£60k-£70k/yrRemoteFull Time
Focal Systems: Automates retail inventory management using AI-powered shelf cameras.
5+ YOE5+ years data science experience, strong SQL and Python (pandas, NumPy) skills, applied statistics and experimentation experience, ability to build predictive models and communicate results to stakeholders.
DataRobot: Provides an enterprise platform for building and governing AI.
Pursuing or recently completed BS/MS in CS/data science/engineering; proficiency in Python (pandas,numpy); foundational ML knowledge; strong communication and autonomy; passion for autonomous agents.
Atoms: Building robotics and software to automate physical world industries.
7+ YOE7+ years software development experience; BS/MS/PhD in engineering; strong control theory, state estimation, Python and NumPy/SciPy proficiency; experience deploying controls and localization on heavy vehicles.
Santa Monica or Los Angeles or San Francisco or Palo Alto or New York City
$178k-$313k/yrOnsiteFull Time
SnapNYSE: SNAP: Develops social media applications and augmented reality technology.
5+ YOE5+ years post-Bachelor's ML experience with expertise in causal inference, experimentation, uplift modeling, and productionizing models; proficient in Python, pandas, NumPy, scikit-learn; strong communication and mentorship skills.
Internet Backyard: Building financial infrastructure for the compute economy.
Experience at early-stage startups, strong Python and quantitative stack (numpy, pandas, polars, scikit-learn, XGBoost), ML fundamentals, data pipeline construction, and domain knowledge in economics/econometrics or capital markets.
XDOF: Data infrastructure and collection systems for general-purpose robot training.
Bachelor's or master's (or equivalent) in robotics/CS/ME, strong Python (numpy, pandas, matplotlib/plotly), experience with protobuf/HDF5/ROS bags, 3D geometry knowledge, and experience designing validation pipelines and data schemas.
Pronto AI: Develops autonomous haulage technology for mining and industrial equipment.
7+ YOEBS/MS/PhD in Robotics/CS or related, 7+ years professional software development, strong motion planning and computational geometry skills, proficiency in Python and NumPy, knowledge of vehicle kinematics, real-time optimization.
Verse: Software to plan, procure, and manage clean energy portfolios.
2+ YOEMaster's degree in a quantitative field or Bachelor's degree with 2+ years energy sector experience; strong ML/statistical modeling; Python (NumPy, pandas, scikit-learn); knowledge of wholesale electricity markets; ability to communicate findings.
Software Engineer - Science Platform (BE) - San Francisco
San Francisco or Seattle or New York City
$165k-$205k/yrOnsiteFull Time
Haus: Haus provides an incrementality platform for marketing measurement and optimization.
3+ YOE3+ years building production backend/data systems; strong Python (pandas,numpy,pytest,poetry); experience with large datasets, SQL/BigQuery, cloud-native (GCP preferred), Metaflow or similar, Kubernetes, and on-call operations.
Probably Genetic: Provides genetic testing and diagnostic software for rare diseases.
7+ YOE7+ years in data science or ML engineering; strong Python and core data stack (pandas, NumPy, scikit-learn, PySpark, SQL); end-to-end ML production experience; NLP and prompt engineering experience; strong communication.
Poesis: AI-native investment manager building foundation models for equity markets.
Strong Python (pandas, numpy, scipy, matplotlib), SQL, experience with coding agents (Claude Code, Codex), working with financial datasets, statistics/ML fundamentals, and a BS/MS/PhD in a quantitative field. Current US work authorization required.
San Francisco or New York City or Toronto or United Kingdom
HybridFull Time
Valence: An AI-native coaching platform building personalized leadership coaching for enterprise organizations.
8+ YOE8+ years software engineering experience in AI/ML or data-intensive systems; strong ML/NLP knowledge, proficiency with NumPy, scikit-learn, Pandas, PySpark, SQL, cloud (AWS/GCP/Azure), Docker/Kubernetes, and strong communication and engineering skills.
Xaira Therapeutics: Develops AI models for protein and antibody drug discovery.
5+ YOEPhD in a quantitative biology field, 5+ years industry/applied research, deep single-cell RNA‑seq and Perturb‑seq expertise, experience integrating large-scale datasets, production workflow development (Nextflow), Docker, AWS, Python (numpy, pandas, scanpy, scikit-learn), Unix, and GitHub.
Lila Sciences: Develops an AI platform for autonomous scientific research and discovery.
8+ YOEBachelor’s or Master’s in CS/Engineering; 8-15 years building large-scale systems; full stack web development; strong cross-functional collaboration; experience with AI tooling.
ReadyOn: AI-native labor operating system for frontline enterprise workforces.
4+ YOEBS/MS/PhD in a quantitative field; 4+ years building and deploying ML models, 2+ years time-series forecasting; advanced Python, SQL, and forecasting library experience; production ML and MLOps skills; strong communication and mentoring ability.
Zipline: Operates an autonomous drone delivery system for medical supplies.
6+ YOE6+ years building mission-critical automated decision systems; expertise in meteorology/aviation weather; scientific Python, time-series/streaming systems, Kubernetes/AWS; leadership of small technical teams; operations and incident experience.
Pandas, NumPy, Xarray, NetCDF, Kafka, Kubernetes, AWS, Rust, C++
Boston or Chicago or Dallas or New York or Oakland or Washington
$100k-$127k/yrHybridFull Time
Charles River AssociatesNasdaq: CRAI: Provides global economic, financial, and management consulting services.
3+ YOE3-5+ years in full-stack development; BS or MS in CS/SE; strong knowledge of JS/Python/Java; cloud and API experience; ability to lead cross-functional projects.