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Top Internships in San Francisco Bay Area, CA

Reposted 9 Days AgoSaved
Hybrid
5 Locations
225K-281K Annually
Senior level
225K-281K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
The Senior Lead AI Engineer will collaborate with cross-functional teams to design, develop, and deploy AI systems, optimizing performance and driving innovative solutions.
Top Skills: AWSAzureGoGCPHuggingfaceJavaNemo GuardrailsPythonPyTorchScalaVectordbs
Reposted 9 Days AgoSaved
Hybrid
8 Locations
116K-159K Annually
Senior level
116K-159K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
The Senior Platform Engineer will design, develop, and optimize complex integrations within Workday, enhance HR processes, and lead automation efforts while collaborating across teams in an Agile environment.
Top Skills: Core ConnectorsRestSoapWorkdayWorkday StudioWsdlXMLXslt
Reposted 11 Days AgoSaved
Hybrid
6 Locations
240K-329K Annually
Expert/Leader
240K-329K Annually
Expert/Leader
Fintech • Machine Learning • Payments • Software • Financial Services
Lead the product management team for operational intelligence and observability at Capital One, focusing on innovation, data analysis, and cross-functional collaboration.
Top Skills: Data AnalysisProduct ManagementTechnology Management
Reposted 11 Days AgoSaved
Remote or Hybrid
4 Locations
176K-240K Annually
Senior level
176K-240K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
The Senior Product Manager will lead product initiatives, leveraging data to define success metrics, and collaborate with cross-functional teams to enhance user experience and product strategies.
Top Skills: PythonRSQL
Reposted 11 Days AgoSaved
Hybrid
5 Locations
205K-281K Annually
Senior level
205K-281K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead technical programs focused on AI/ML products at Capital One, ensuring robust platform development and execution across teams. Drive team growth and promote the TPM discipline while managing complex programs and mitigating risks.
Top Skills: AgileAIAWSCloud ComputingDistributed ComputingMl
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Reposted 11 Days AgoSaved
Hybrid
6 Locations
205K-281K Annually
Senior level
205K-281K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
The Director will manage product strategies for a CI/CD platform, enhance developer experiences, collaborate with cross-functional teams, and advocate for customer needs.
Top Skills: Ci/CdCloudDevOps
Reposted 11 Days AgoSaved
Hybrid
6 Locations
205K-281K Annually
Senior level
205K-281K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
As a Director of Product Management, you'll lead the Network Observability product area, focusing on customer needs, innovation, and technology-driven solutions.
Top Skills: Network Security SolutionsNetworkingObservability PlatformsRoutingSwitching
Reposted 11 Days AgoSaved
Remote or Hybrid
4 Locations
144K-197K Annually
Mid level
144K-197K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
As a Product Manager at Capital One Shopping, you will lead product initiatives, collaborate with teams, analyze data using SQL, and focus on customer-first strategies to drive product development and enhancements.
Top Skills: APIsBig DataNative Ui'SPythonRSQL
Reposted 12 Days AgoSaved
Hybrid
5 Locations
176K-241K Annually
Mid level
176K-241K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead a team of developers to drive technology projects, create cloud-based solutions, and mentor engineers to improve their skills.
Top Skills: AWSCSSDockerGoHTMLJavaJavaScriptKubernetesPythonSQLTypescript
Reposted 12 Days AgoSaved
Hybrid
4 Locations
205K-281K Annually
Mid level
205K-281K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
The Director, Chief of Staff will support enterprise-level data initiatives, collaborate with stakeholders, and enhance operational processes and associate engagement.
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