372 deep learning researcher jobs at 112 companies in California
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Intern- Deep Learning Researcher
Seoul or San Diego or Amsterdam or Beijing
OnsiteInternship
QualcommNASDAQ: QCOM: Designs and manufactures semiconductors and wireless telecommunications products.
Python; hands-on deep learning experience (e.g., PyTorch); basic machine learning and signal processing knowledge; research interest in speech, multimodal, federated, few-shot, unsupervised/self-supervised, and generative models.
Matroid: Platform for training and deploying custom computer vision detectors.
3+ YOEMaster's or equivalent, 3+ years industry/academic experience in software, deep learning and computer vision; strong software engineering, communication, and research skills.
Hayden AI: Mobile vision AI systems for automated traffic enforcement.
1+ YOE1-2 years building and deploying ML perception models in production; Bachelors or Masters in Computer Science or related; hands-on PyTorch and Python; cloud experience (AWS/GCP/Azure); familiarity with MLOps, NVIDIA edge stack and CUDA.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
15+ YOE15+ years in deep learning and systems design; proficiency in Python and C++; strong understanding of computer architecture and GPU/parallel datacenter computing; experience in performance analysis and modeling.
Imagry: Mapless autonomous driving software for vehicle manufacturers.
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.
Deep Learning Research Intern — Multimodal BEV Perception
Santa Clara, California, United States
$19-$65/hrOnsiteInternship
PlusAI: AI-based virtual driver software for factory-built autonomous trucks.
Pursuing a master's or doctoral degree in AI, computer science, electrical engineering, robotics, or related field; Python, deep learning, computer vision, 3D geometry, and PyTorch, TensorFlow, or JAX experience required.
Senior Deep Learning Engineer – Perception, Autonomous Driving
Santa Clara, California, United States
$184k-$357k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
8+ YOEPh.D. or MS (or equivalent experience) in CS/Robotics/ML/CV, 8+ years applied research/software engineering in deep learning for computer vision, strong Python/C++ skills, PyTorch experience, data-centric AI expertise.
Bot Auto: Operates a fleet of autonomous trucks for freight transportation.
Advanced degree in CS/engineering/robotics/math/physics; deep expertise in machine learning and computer vision, transformers and SOTA techniques; familiarity with PyTorch and TensorFlow; independent and collaborative researcher.
FujitsuTokyo Stock Exchange: 6702: Global provider of IT services and computing hardware products.
PhD or near-completion PhD in a relevant field; original research demonstrated through publications or projects; independent research ability; deep-learning framework experience; strong collaboration and communication skills.
Pony.aiNASDAQ: PONY: Develops autonomous driving technology for passenger and freight transportation.
Pursuing Masters or PhD in CS/ML/Robotics; strong deep learning background; DL research experience and tools; Python and C++ proficiency; experience with large-scale data and pipelines.
Pony.aiNASDAQ: PONY: Develops autonomous driving technology and operates robotaxi services.
Pursuing a Masters or PhD in CS/ML/Robotics, strong deep learning background, research and large-scale data experience, proficiency in Python and C++, and experience with model design, training and evaluation.
Dyna Robotics: Develops general-purpose robots powered by proprietary embodied AI models.
Hands-on applied ML experience (RL, anomaly detection, vision-language, or continual learning); production experience with monitoring, data pipelines, and experimentation; strong Python and deep learning skills.
Ivo: AI-powered contract review and intelligence platform for legal teams.
PhD or equivalent industry research experience in quantitative field; deep hands-on LLM and deep learning research; strong communication and shipping-oriented mindset.
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 diversified financial services providing banking and credit products.
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: Provides credit card, banking, and auto loan 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: Financial services offering credit cards, banking, and loans.
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.
NetflixNASDAQ: NFLX: Global video streaming and media production service.
Deep expertise in deep learning (Transformers, Diffusion), data preparation/curation, distributed training on large clusters, and experience translating research into production-quality models.
Lawrence Livermore National Laboratory: Develops science and technology for United States national security.
Recent PhD in a relevant field, explainable AI research experience, publications, deep learning with PyTorch or JAX, and scientific programming in Python. Must be eligible under NDAA Section 3112.
OpenAI: Develops artificial intelligence models and generative AI software services.
Experience in deep learning and transformer models, proficiency with PyTorch or TensorFlow, strong software engineering, data structures and algorithms, designing and deploying misuse safeguards, and testing/red-teaming mitigation stacks.
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
Deep learning expertise (Transformers, Diffusion), data preparation/curation, distributed large-scale model training and infra, evaluation and benchmarking, and ability to translate research into production.