4 deep learning intern jobs at 4 companies in Fairfield, CA

PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
HiringCafe
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Python, PyTorch, Elasticsearch, LLMs
3mo
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Research Intern, Machine Learning
New York or San Francisco
$4k-$12k/mo OnsiteInternship, Full Time
Output Biosciences
Output Biosciences: Builds generative AI models to decode and program biology.
PhD candidate in ML/CS/Computational Biology; strong deep learning background; Python proficient; experience with large datasets; publications in top venues; able to work 20+ hours/week for 12–24 weeks.
PyTorch, TensorFlow, Python
1mo
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Neural-Assisted Video Coding Intern
Sunnyvale or San Francisco
$55-$62/hr HybridFull Time, Internship
Dolby Laboratories
Dolby LaboratoriesNYSE: DLB: Develops audio and video signal processing and compression technologies.
PhD student in EE/CE or recent graduate; experience with video compression (H.265/HEVC, H.266/VVC), deep learning, Python/C/C++ programming, PyTorch, strong research and communication skills; available full-time Mon–Fri for 6 months starting Sept 21, 2026.
Python, C, C++, PyTorch, H.265/HEVC, H.266/VVC
3d
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AI Research Internship
Oakland, California, United States
$50-$60/hr HybridFull Time
DNV
DNV: Provides global risk management, certification, and technical assurance services.
Currently pursuing or recently completed PhD in a relevant field; research experience in robotics, control theory, or deep learning; interest in AI assurance; strong written and verbal English; pre-employment drug and background screening.
3mo
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ML Compiler Engineer
San Bruno, California, United States
OnsiteFull Time
femtoAI
femtoAI: Developing ultra-efficient edge AI accelerator chips and software.
2+ YOE2+ years in compilers or edge-AI; Python and/or C++; experience with MLIR/LLVM/TVM/XLA; graph Transformations; ML model internals; understanding of deep learning models; balance of correctness and performance.
Python, C++, MLIR, LLVM, TVM, XLA, PyTorch, ONNX