3 artificial intelligence developer jobs at 3 companies in Napa, 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
1w
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Vice President, Artificial Intelligence
San Francisco, California, United States
$322k-$436k/yr RemoteFull Time
Rapid7
Rapid7NASDAQ: RPD: Provides cybersecurity risk management and threat detection software solutions.
12+ YOE5+ Mgmt12+ years in AI/ML with 5+ years executive leadership in SaaS/cybersecurity, experience building AI products at scale, MLops and model governance, strong communication and cross-functional leadership.
machine learning frameworks, cloud AI platforms, large language models, prompt engineering, retrieval-augmented generation architectures, model monitoring, machine learning operations, AI observability
1d
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Senior Quant, Artificial Intelligence/Machine Learning
Minneapolis or San Francisco or Charlotte
$133k-$157k/yr HybridFull Time
U.S. Bank
U.S. BankNYSE: USB: Provider of personal, business, and institutional financial services.
5+ YOEAdvanced AI/ML expertise with model development/validation experience; strong programming in Python and ML frameworks; PhD/MS/BS in quantitative field with 5–10+ years experience; knowledge of model risk and financial applications.
Python, Numpy, Pandas, scikit-learn, PyTorch, TensorFlow/Keras, Hugging Face Transformers, LangChain, LangGraph, OpenAI Agent SDK, Claude Code, GitHub Copilot, DeepEval, LlamaIndex, Ragas, AWS Bedrock, Azure AI, Microsoft Copilot, Google Vertex AI, vector databases
2w
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Artificial Intelligence (AI) Cybersecurity Scientist (Ph.D.)
Menlo Park or Oakland or United States
$140k-$154k/yr OnsiteFull Time
Exponent
ExponentNasdaq: EXPO: Scientific and engineering consulting firm for complex technical challenges.
Ph.D. in a relevant technical field; experience developing/evaluating/deploying ML, deep learning, generative or agentic AI systems; expertise in AI assurance, cybersecurity, OT systems, and software engineering; proficiency in at least two listed tools; authorized to work in the U.S.
Python, R, C++, Linux, cloud platforms, containerization, MLOps tools, cybersecurity analysis tools, NIST Cybersecurity Framework, NIST AI Risk Management Framework, MITRE ATT&CK, MITRE ATLAS, ISA/IEC 62443