Neural Network Jobs in San Francisco
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Search Results - Neural Network Jobs in San Francisco
Remedy Robotics-San Francisco
now need your help to bring this technology out of the laboratory and into hospitals everywhere.
The Role
We’re looking for someone to continue leveraging our vast trove of medical imaging data in order to train and deploy deep neural network models...
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appcast.io -
Jobs-San Francisco
Full Time (San Francisco)
Were looking for someone to continue leveraging our vast trove of medical imaging data in order to train and deploy deep neural network models. These models enable our surgical robot to understand and reason about both our...
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jobvertise.com -
Remedy Robotics-San Francisco
A medical technology company in San Francisco is seeking a Machine Learning Engineer to leverage vast medical imaging data in training deep neural network models. You will work on enabling a surgical robot to understand anatomy, empowering doctors...
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ESRhealthcare and EXEC STAFF RECRUITERS-San Francisco
methods, including experience with modern architectures such as transformers, state-space models, graph neural networks or diffusion-based generative models.
Proficiency with modern ML frameworks (e.g., PyTorch, JAX, or TensorFlow) and core scientific...
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careers-page.com -
Placeholder-San Francisco
A leading tech company in San Francisco is seeking a talented researcher to develop and apply LLMs in quantitative finance. Candidates should possess a PhD in Machine Learning or a related field and extensive experience in Neural Network development...
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Amazon-San Francisco
logistics, and consumer products, with access to AWS resources and deployment to billions of users.- * Deep technical expertise and detailed understanding of neural networks, large language models, reinforcement learning, model evaluation, data annotation...
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amazon.jobs -
Placeholder-San Francisco
vacation
The Role
We are looking for a talented researcher to drive the development and application of LLMs in the world of quantitative finance. In this role, you will harness your expertise in deep neural networks to architect, fine-tune, and push...
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SQL Pager LLC-San Francisco
bringing-up, and validation.
In-depth Knowledge of one of the parallel processing hardware architectures
◦ Neural Network Computation Flow on GPU/NPU
◦ Array/Vector/Systolic Processors
◦ SIMD/SIMT Processing Pipelines
◦ Base Jump manycore
◦ GPU cache...
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Menlo Ventures-San Francisco
of cybersecurity principles, frameworks, and standards.
• Understanding and experience with securing transfer and storage of deep neural network models.
Base Salary Range
$100,000—$300,000 USD
#J-18808-Ljbffr...
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Foundation Robotics Lab-San Francisco
leading early custom IC design and project planning.
What Kind of Person We Are Looking For:
• Proven track record in designing or evaluating AI accelerators, neural network inference engines, or signal processing hardware, with a history of delivering...
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Dolby-San Francisco
algorithms and system technologies to support video systems standards, such as encapsulation formats, delivery protocols, multimedia presentation, scene description, and file formats.
• Advance signal processing methods—including both classical and neural...
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Vanguard-IP-San Francisco
degree and U.S. bar membership. This role involves engaging with rocket engines, satellite technology, and the latest advancements in neural networks and robotics. Join a team that values confidentiality and offers a competitive edge in the IP job market...
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Apple Inc.-San Francisco
engineering, ML infrastructure, or related fields, with 3+ years in technical leadership or management roles
• Deep understanding of ML fundamentals including neural network architectures, transformers, attention mechanisms, and inference optimization
• Strong...
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Vanguard-IP-San Francisco
engines and satellite technology as they are working on the next generation of neural networks, automation, and robotics. Candidates should have the technical chops to be able to discuss details with engineers and developers, but also the confidence...
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EchoTwin AI, Inc.-San Francisco
Strong knowledge of machine learning techniques (e.g., regression, neural networks, time‑series forecasting) and statistical methods for prognostics.
• Experience with data processing tools and frameworks (e.g., Pandas, NumPy, Scikit‑learn, TensorFlow...
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