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Top AI & Machine Learning Jobs in San Francisco, CA

219K-272K Annually
Junior
Fintech • Machine Learning • Payments • Software • Financial Services
The Applied Researcher I will work in AI Foundations to develop multi-agent systems, harness machine learning for customer experiences, and engage in applied research using modern AI techniques.
Top Skills: Aws UltraclustersHugging FaceKnowledge GraphsLanggraphLightningMcpPyTorchVectordbs
Reposted 24 Days AgoSaved
Hybrid
San Francisco, CA, USA
209K-286K Annually
Senior level
209K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
The Senior Lead Machine Learning Engineer will design and implement ML applications, optimize systems, collaborate with teams, and ensure model governance.
Top Skills: AWSAzureDaskGoogle Cloud PlatformJavaPythonPyTorchScalaScikit-LearnSparkTensorFlow
25 Days AgoSaved
Hybrid
2 Locations
263K-327K Annually
Internship
263K-327K Annually
Internship
Fintech • Machine Learning • Payments • Software • Financial Services
The role involves partnering with cross-functional teams to deliver AI-powered products, leveraging AI technologies, and pushing research developments into real-world applications.
Top Skills: Aws UltraclustersHuggingfaceLightningPyTorchVectordbs
25 Days AgoSaved
Hybrid
2 Locations
219K-272K Annually
Internship
219K-272K Annually
Internship
Fintech • Machine Learning • Payments • Software • Financial Services
In this role, you will develop AI foundation models, perform applied research, collaborate with cross-functional teams, and leverage advanced technologies to enhance customer experiences in banking.
Top Skills: Aws UltraclustersHuggingfaceLightningMachine LearningPyTorchVectordbs
Reposted 25 Days AgoSaved
Hybrid
2 Locations
230K-286K Annually
Senior level
230K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead design, development, deployment, and support of large-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, observability). Partner with cross-functional teams, introduce LLM optimization techniques, and shape technical vision and roadmap for foundational AI platforms to deliver scalable, responsible production AI capabilities.
Top Skills: AWSAws UltraclustersAzureC#C++Foundation Model TrainingGoGCPHugging FaceJavaLlm InferenceNemo GuardrailsPythonPyTorchScalaSimilarity SearchVectordbs
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