232 applied research scientist jobs at 79 companies in Newark, CA
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Staff Applied Research Scientist
Menlo Park, California, United States
$236k-$339k/yrOnsiteFull Time
SnowflakeNYSE: SNOW: Cloud-based data platform for AI, analytics, and data applications.
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: Private AI software providing text-based audio and video editing tools for creators and teams.
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: Private robotics startup building robot foundation models for autonomous industrial tasks in manufacturing, logistics, automotive, and ecommerce.
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: Building the world’s first AI-Driven Digital Organism to simulate living systems and accelerate scientific research.
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.
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
2+ YOEPhD or equivalent in CS or computational biology, 2+ years relevant experience, deep learning expertise (sequences, diffusion models, LLMs), strong software skills in Python or C++, and domain expertise in biology/chemistry/drug discovery.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
2+ YOEPhD (or equivalent) in CS or Computational Biology, 2+ years in deep learning/bioinformatics/structural biology/related fields, strong ML and software engineering skills, experience with model design and evaluation.
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
2+ YOEPhD or equivalent in Computer Science or Computational Biology; 2+ years in deep learning or related fields; expertise in modern AI, life sciences, and Python or C++.
AMDNASDAQ: AMD: Leader in high-performance computing, graphics, and visualization technologies.
Expertise training LLMs/LMMs and image/video generation models, familiarity with transformer architectures, Python development, ML frameworks, distributed training, and strong communication; PhD or Master’s preferred.
Adaption: AI building adaptive intelligence that continually learns for industries, languages, and specialized workflows.
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.
Wisdom AI: N enterprise AI analytics helping businesses turn complex data into explainable insights.
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.
SiemensXetra: SIE: Global technology specializing in industry, infrastructure, transport, and healthcare.
8+ YOERequires 8+ years in applied machine learning, AI research, or data science; production model experience; strong ML foundations; Python and modern ML frameworks; and engineering partnership experience.
Mistral AI: Developer of open-weight and frontier AI models.
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.
AmazonNASDAQ: AMZN: Multinational technology focused on e-commerce and cloud computing.
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: AI-first technology consulting and managed-services firm serving telecom and technology enterprises with digital and network transformation.
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.
Oracle CorporationNYSE: ORCL: Cloud infrastructure and enterprise software solutions provider.
3+ YOERequires 3–5+ years of experience and advanced applied research expertise in AI, robotics, perception, machine learning, and embodied AI, with hands-on coding and production deployment experience.
MetaNASDAQ: META: Builds technologies that help people connect, find communities, and grow businesses.
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.
ByteDance: Global technology specializing in AI-powered content platforms.
2+ YOE2+ years research experience in computer vision/generative AI, strong algorithm and programming skills, experience with generative models, image/video synthesis, multimodality, and human modeling; proficiency in C/C++ and Python.
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.