133 deep learning researcher jobs at 15 companies in Pacific Grove, CA
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Deep learning team leader - Perception
San Jose or Israel
$190k-$210k/yrOnsiteFull Time
Imagry: Private autonomous-driving software serving public-transit operators with HD-mapless AI for buses and passenger vehicles.
5+ YOE2+ MgmtM.Sc. or equivalent experience; 5+ years deep learning experience; 2+ years managing teams of 3+; expertise in computer vision, PyTorch, Python; strong math and communication; authorized to work in the US.
Applied Researcher I (AI Foundations, Recommendation Systems, Personalization, Reinforcement Learning)
McLean or Cambridge or New York City or San Jose
$219k-$272k/yrOnsiteFull Time
Capital OneNYSE: COF: A technology-driven bank providing diverse financial services.
2+ YOEPhD in a relevant technical field, or MS plus 2 years of applied research. Requires AI foundation model experience, deep learning expertise, scalable model delivery, machine learning research accomplishments, and research agenda ownership.
Applied Researcher I (AI Foundations, Recommendation Systems, Personalization, Reinforcement Learning)
McLean or Cambridge or New York City or San Jose
$219k-$272k/yrOnsiteFull Time
Capital OneNYSE: COF: A technology-driven bank providing diverse financial services.
2+ YOEPhD in a relevant technical field, or master's degree plus 2 years of applied research experience; expertise in AI, deep learning, machine learning, model development, and scalable production systems.
San Jose or San Francisco or McLean or Cambridge or New York City
$219k-$272k/yrOnsiteFull Time
Capital OneNYSE: COF: A technology-driven bank providing diverse financial services.
2+ YOEPhD (or MS+2yrs) in CS/EE/AI/Math or related, experience building large deep learning models and publishing research, ability to deliver models at scale and own research agenda.
Applied Researcher, Vision Language Models/VLM - TikTok
San Jose, California, United States
$245k-$450k/yrOnsiteFull Time
TikTok: Short-form mobile video and social media platform.
PhD in CS/AI/Data Science, strong programming (Python,Rust,C++), experience with deep learning frameworks and LLM/VLM research, and expertise in training/inference, distributed systems, and evaluation.
ByteDance: Global technology specializing in AI-powered content platforms.
Currently pursuing a Bachelor's or Master's in CS/EE, familiarity with MLIR and compiler/model optimization, experience with deep learning frameworks and LLM inference tools, and ability to commit 12 weeks in 2026.
RokuNASDAQ: ROKU: TV streaming platform powering the global television ecosystem.
8+ YOEPhD in a quantitative field; 8+ years of applied research using statistical and deep learning; published work in advertising; strong communication and collaboration.
AmazonNASDAQ: AMZN: Multinational technology focused on e-commerce and cloud computing.
PhD (within 2 years), publication record in visual localization/SLAM/3D scene understanding, experience in metric-semantic mapping or relocalization, proficiency with deep learning and geometric methods, strong programming and communication skills.
Ensemble Health Partners: Technology-enabled revenue cycle management solutions for health systems.
3+ YOEBachelor's in CS/Engineering/Data Science/Mathematics required; Python and ML/AI production experience; 3+ years relevant experience typical; experience with deep learning frameworks and LLM techniques preferred.
TikTok USDS Joint Venture LLC: Ensuring U.S. data security and content integrity for TikTok.
Completing or recently completed a bachelor's or master's degree in a related field; requires machine learning, Transformer/GNN, coding, distributed computing, and deep learning framework experience.
Sr. Machine Learning Research Engineer, Siri Speech
Cupertino or North America
OnsiteFull Time
AppleNASDAQ: AAPL: Designing and manufacturing consumer electronics, software, and digital services.
PhD or equivalent industry experience; expertise in efficient deep learning; Python and JAX, PyTorch, or TensorFlow proficiency; software design, coding, parallel computing, and large-scale ML experience preferred.
NIONYSE: NIO: Global smart electric vehicle and battery technology provider.
Master's degree or above in AI/CS/automation/vehicle engineering/electronic information; deep learning and large-model experience; PyTorch/TensorFlow/ONNX proficiency; model optimization and embedded inference experience; embedded Linux/RTOS/QNX familiarity.
ChipAgents: Private agentic-AI software helping semiconductor design and verification engineers design, verify, and debug chips.
Degree in CS/ML/EE or equivalent research experience; deep expertise in large language models, deep learning and AI agent architectures; experience with large-scale model training and productionizing research; strong Python and ML framework skills.
Futurewei Technologies: U.S. R&D affiliate of Huawei developing open information and communications technology through research, standards, and open source.
PhD student in computer science, computer vision, machine learning, or related field; deep computer vision and machine learning knowledge; Python and PyTorch experience; original research and publication experience required.
NIONYSE: NIO: Global smart electric vehicle and battery technology provider.
3+ YOEMS or PhD in computer science, electrical engineering, or related field; 3+ years applied AI/ML experience; Python, PyTorch, TensorFlow, deep learning, LLMs, scalable systems, APIs, and cloud experience.
Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Large Language Models (LLMs), Python, PyTorch, TensorFlow, AWS, Google Cloud Platform (GCP), Microsoft Azure
DiDi GlobalOTC: DIDIY: Leading global mobility technology platform providing shared transportation services.
3+ YOEMaster's degree or higher and 3+ years of deep learning algorithm R&D experience. Requires foundation-model training, Transformer sequence modeling, distributed training, experimental design, and strong implementation skills.
AdobeNASDAQ: ADBE: Empowering everyone to create through innovative digital experiences.
10+ YOEPhD or MS in CS/AI/ML (PhD preferred), 10+ years building and deploying large-scale AI/ML systems, deep expertise in knowledge graphs, IR, NLP/intent modeling, multimodal learning, and LLM/RAG systems.