141 applied research scientist jobs at 67 companies in Ross, CA
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Staff Applied Research Scientist
Menlo Park, California, United States
$236k-$339k/yrOnsiteFull Time
SnowflakeNYSE: SNOW: Cloud-based platform for data storage, processing, and analytics.
8+ YOEPhD or equivalent research experience in CS, 8+ years applying TCS to large-scale systems, expertise in formal methods, distributed systems, software engineering, and practical AI/ML; track record of publications or OSS contributions.
Descript: Provides a text-based collaborative video and audio editing platform.
Deep learning algorithm design and implementation, strong PyTorch or TensorFlow skills, rapid experimentation, and demonstrated research or production impact. PhD or master's or equivalent experience required.
Applied Research Scientist / Engineer - Deployment
Palo Alto, California, United States
OnsiteFull Time
Rhoda AI: Developing generalist robotic intelligence for real-world industrial automation.
Strong ML research and engineering skills with hands-on experience fine-tuning or adapting large models; translate customer requirements into model adaptations; customer-facing applied research or solutions engineering experience; staff-level/ senior execution expectations.
GenBio AI: Developing AI foundation models to simulate and program biology.
PhD (or equivalent) in CS/AI/Computational Biology, proven publication record, experience translating ML research to biology, computational discovery experience, collaboration with experimental scientists, and software engineering best practices.
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.
WisdomAI: AI-powered conversational analytics platform for enterprise data teams.
5+ YOE5+ years applied ML/NLP experience, Master's required (PhD preferred), deep LLM and agent experience, production Python and ML framework skills, evaluation and benchmarking expertise.
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
3+ YOE3+ years building machine learning models; PhD or Master's plus 6+ years applied research; experience with neural deep learning; programming in Java, C++, or Python; experience with multimodal and vision-language models.
Mistral AI: Developing frontier artificial intelligence models and enterprise AI solutions.
Expertise in PyTorch or JAX, strong Python coding, experience training/deploying large models on GPU clusters, data generation and evaluation, excellent communication and research track 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.
MetaNASDAQ: META: Develops social networking platforms and virtual reality technologies.
4+ YOEPhD in CS/statistics/OR,4+ years applied R&D experience,publications,proficiency with Python,C/C++/Java,PyTorch/TensorFlow/scikit-learn,Presto/Hive/Spark,and ability to obtain work authorization.
Bethesda or Chevy Chase or Palo Alto or New York City
$115k-$230k/yrHybridFull Time
GEICO: Provides vehicle and property insurance services to consumers.
3+ YOEMaster’s or PhD in a quantitative field or equivalent experience; 3+ years developing production AI/ML models; Python, SQL, PyTorch, Scikit-learn, experimentation, causal analysis, and technical leadership.
LinkedInNASDAQ: MSFT: Professional social network for career development and job recruitment.
3+ YOEBachelor's degree in a quantitative discipline and 3+ years of industry or relevant academic experience. Requires programming, applied statistics, statistical modeling, and machine learning experience.
R, Python, Java, Ruby, Scala, Spark, Perl, machine learning, AI
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.
MicrosoftNASDAQ: MSFT: Develops software, services, devices, and cloud computing solutions.
4+ YOEAdvanced degree in statistics/CS/EE/related or equivalent experience; ~4+ years ML research or production experience; strong Python and ML framework skills; experience with large-scale data, transformer models, causal inference, and evaluation.
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.
4+ YOEPhD or equivalent experience, 4+ years research experience, 2+ years applied ML experience, publications, proficiency in Python/JavaScript/R/Java/C++, strong communication and critical thinking.
Evolver: AI-powered platform automating complex workflows for professional services firms.
Requires applied AI prototyping, Python and cloud infrastructure experience, evaluation or benchmarking expertise, machine learning knowledge, cross-functional collaboration, and a thesis-based master's degree or PhD in a related field.
Granica: Provides an AI efficiency platform for optimizing enterprise training data.
PhD in ML/statistics/applied math or related field; strong generative ML research record; experience with diffusion models; hands-on PyTorch or JAX and Python; ability to turn research into production systems.