Top AI & Machine Learning Jobs in San Francisco, CA

2 Months AgoSaved
In-Office or Remote
2 Locations
245K-335K Annually
Senior level
245K-335K Annually
Senior level
Fintech
Designs, builds, tests, deploys, and supports AI software components for large-scale production systems. Focus areas include foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability, and performance optimization. Partners with engineering, research, TPM, and product teams to deliver responsible, scalable AI capabilities and shape long-term platform strategy.
Top Skills: AWSAzureC++GoGCPHugging FaceJavaNemo GuardrailsPythonPyTorchScalaVectordbs
2 Months AgoSaved
In-Office
2 Locations
179K-246K Annually
Senior level
179K-246K Annually
Senior level
Fintech
Lead machine learning engineering efforts to design, build, productionize, monitor, and optimize ML models and systems at scale. Partner with Product and Data Science teams, develop application code, build data pipelines, deploy cloud-based ML solutions, and improve reliability, performance, governance, and responsible AI practices.
Top Skills: AWSAzureDaskGoogle Cloud PlatformJavaPythonPyTorchScalaScikit-LearnSparkTensorFlow
2 Months AgoSaved
In-Office
2 Locations
286K-392K Annually
Senior level
286K-392K Annually
Senior level
Fintech
Build and optimize enterprise AI systems, including foundation models and LLM inference, for Capital One. Design, deploy, and support scalable, responsible AI components using cloud and open-source technologies, improve performance and cost, and help define the long-term AI roadmap.
Top Skills: AWSAws UltraclustersAzureC#C++GoGCPHugging FaceJavaNemo GuardrailsPythonPyTorchScalaVectordbs
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