Adaption: Develops efficient AI systems that adapt in real-time.
3+ YOE3–4 years in ML or applied research; deploy ML systems; strong software engineering with PyTorch/JAX/TensorFlow; online/ RL or efficient ML architectures; data modeling and curation impact; strong communication; ownership mindset; bonus: human feedback/adaptive learning.
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
4+ YOEPhD in CS/EE/Robotics or related, 4+ years in computer vision/3D perception/sensor fusion, strong Python/C++ skills, experience with deep learning frameworks, production ML delivery, strong publication or applied research record.
Senior Applied Scientist - Operations Research & Systems Analysis (ORSA)
San Jose, California, United States
OnsiteContract
Prodapt: Provides digital engineering and IT consulting services for telecom.
7+ YOEMS/PhD in Operations Research preferred or Bachelor in CS/Engineering,7+ years applied scientist experience in ORSA, solver experience with Gurobi/CPLEX, Python and advanced numerical computing, retail supply chain domain knowledge, mentoring experience.
UberNYSE: UBER: A technology platform for transportation, delivery, and freight.
4+ YOE4+ years applied ML experience, advanced probability/statistics, production ML coding, system monitoring, strong communication; M.S./Ph.D. or equivalent experience.
Parallel: Build web infrastructure and search APIs for AI agents.
Deep intuition on modern models and training; expertise in transformer, search, and recommendation model interactions; focus on applied research that can be productized at scale.
Sprinter Health: Mobile provider of in-home diagnostic and preventive healthcare services.
Strong foundations in operations research or optimization, experience with production optimization/decision systems, Python and SQL proficiency, experiment design, and cross-functional collaboration.
MetaNASDAQ: META: Develops social networking platforms and virtual reality technologies.
4+ YOEPhD in a relevant field, 4+ years research experience, publications at top ML conferences, research background in ML/AI/applied math, and experience developing and debugging in Python.
Echo Neurotechnologies: Developing brain-computer interface technologies to improve patient autonomy.
5+ YOEBachelor's or Master's in quantitative field, 5+ years ML experience, experience with transformers, time-series/state-space models, production ML platforms, Python, PyTorch, and GPU-accelerated pipelines.
Keysight TechnologiesNew York Stock Exchange: KEYS: Manufactures hardware and software for electronic test and measurement.
1+ YOEMaster's or PhD in a quantitative field,1+ years data science experience,proficiency in Python and SQL,experience with Snowflake/Databricks,data pipeline and ML model development,tree-based methods and Bayesian optimization.
Keysight TechnologiesNYSE: KEYS: Provides electronic design, test, and simulation software and hardware.
1+ YOEMaster's or PhD in a quantitative field, 1+ years data science experience, strong Python and SQL skills, experience with Snowflake/Databricks, tree-based ML, Bayesian Optimization, and building scalable data infrastructures.
State Controller's Office: California's fiscal controller managing state financial operations and assets.
Plan and direct epidemiology/biostatistics research, apply advanced statistical methods, manage healthcare data linkages, and produce evidence to assess Medi‑Cal policies and disparities.
NTT DATA AIVistaTokyo Stock Exchange: 9613: Developing AI-native enterprise products and agentic workflows
5+ YOEPhD or equivalent; 5+ years AI/ML in production; impactful research (publications/patents); strong deployment and collaboration with engineering.
Python, Machine Learning, Deep Learning, LLMs, Multimodal AI, Knowledge Graphs
Crucibl: AI-powered platform for enterprise business decision-making.
Requires strong ML/AI fundamentals, production ML systems experience, end-to-end product delivery, and proficiency across data, modeling, evaluation, and deployment. Production LLM or agentic systems experience preferred.
NobleAI: Science-based AI platform for industrial product R&D optimization.
Ph.D. in a STEM field required; ML coursework or degree; hands-on experience applying ML to scientific/engineering problems; strong Python and ML framework experience; ability to deploy models to production and communicate complex technical results.
Python, PyTorch, TensorFlow, Keras, sklearn, Microsoft Azure, AWS, GCP
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
8+ YOEPh.D. or master's degree in computer science, machine learning, computer graphics, or related field; 8+ years industry experience; generative AI, 3D systems, Python, PyTorch, ML infrastructure, publications, and product technology transfer experience.
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.
Waterloo or New York City or San Francisco or Toronto or London
$196k-$270k/yrHybridFull Time
Faire: Online wholesale marketplace connecting independent retailers with unique brands.
5+ YOE5+ years building production ML/AI systems, hands-on applied science (data, evaluation, modeling), shipped agentic/LLM features, cross-stack engineering experience, and strong experimental and product judgment.
Applied AI Scientist, Technology Partnerships (Senior/Principal)
San Francisco, California, United States
$200k-$300k/yrOnsiteFull Time
Sygaldry: Building quantum-accelerated servers for efficient AI model training.
Advanced computational background (MS/PhD preferred) with strong Python and scientific computing, generative modeling and benchmarking experience, ability to prototype and validate methods in partner domains.
Sr. Scientist I/Sr. Scientist II, Applied AI & Agentic Systems for Drug Discovery
Boston or San Francisco
$160k-$220k/yrHybridFull Time
Antares Therapeutics: Develops precision medicines for cancer and serious diseases.
5+ YOEPhD or equivalent in a quantitative field, 5+ years relevant experience for Scientist I or 8+ for Scientist II, drug discovery contributions, LLM agent development, Python, MLOps, and scientific communication.
Large Language Models (LLM), Model Context Protocol (MCP), LIMS, ELN, MLOps, Python, Claude, GPT, Claude Code, Codex, RDKit, OpenEye, Schrödinger