Data Science Jobs in Santa Clara, CA

The Group Product Manager for AV Capabilities at GM leads the strategy and roadmap for autonomy products, managing a team while collaborating cross-functionally to ensure quality delivery and innovation.

As a Staff Machine Learning Engineer, you will enhance credit modeling, manage full credit modeling stacks, and support innovations within regulated banking frameworks.

The Senior Product Manager for Evaluation Applications will define and implement strategies for a testing platform, ensuring cohesive workflows. This role requires strong technical leadership, stakeholder alignment, and a focus on data-driven insights for autonomous vehicle evaluation.

Lead the NG-SIEM serverless platform engineering team, responsible for building global systems, ensuring operational excellence, managing teams, and driving innovation in security data management.

Manage a team of data scientists to develop AI-driven software solutions using large-scale data analysis and machine learning. Oversee model development and collaboration with cross-functional teams.

As a Senior Manager of Data Science, you'll lead the LLM Customization Team by collaborating with cross-functional teams to develop AI-powered financial solutions. You'll leverage NLP and LLMs, optimize model training, and translate technical findings for business impact.

The Director of Threat Research will build and lead a new team, driving threat intelligence, product enhancements, and customer risk reduction through hands-on research and strategic leadership.

The Director of Product Management will lead the merchant onboarding and growth strategy, improving activation rates and driving revenue. Responsible for product vision, cross-functional collaboration, and analytics-driven decisions, ensuring a seamless experience for merchants.

The Sr. Staff Software Engineer, Automation will develop tools for automating reliability testing and analysis, collaborating with various teams to optimize workflows and improve product reliability.

The Solutions Engineer will provide technical and business consultation for sales teams, create customer-centric solution designs, and mentor associates while participating in community engagement.

The role involves leading a team to build AI-enabled data features, leveraging machine learning, analyzing large datasets, and collaborating across teams to drive product innovation.

Lead the strategy and execution of AI-driven shopping experiences, focusing on agentic AI. Collaborate cross-functionally to enhance user experiences and leverage AI technology for business growth.

Lead the management of extensive data programs ensuring compliance and quality while collaborating with engineering and legal teams to meet project milestones.

The Foundry Lead Engineer will manage GaN/SiC process development, oversee foundry operations, improve product quality, and collaborate with cross-functional teams while ensuring effective outsourcing strategies.

Manage the operational activities of the AI Center of Excellence, lead AI initiatives delivery, oversee governance, and ensure responsible AI practices.

Lead Safety Architect for autonomous vehicles, focusing on safety architecture, metrics, analysis, and collaborative processes for software delivery and safety standards.

Manage external partnerships for business development in semiconductor industry, guide processes, oversee program management, and communicate with strategic partners.

Lead Applied AI product initiatives for mobile games by identifying gameplay opportunities, defining AI-driven roadmaps, translating between game design and ML teams, setting mixed technical and game success metrics, and partnering with central tech teams to deploy ML features that improve fun and retention.

The Group AI Research Product Manager will lead the AI Foundations portfolio strategy, driving innovations in Cybersecurity AI and liaising with PhD scientists to enhance research outcomes.

The Principal Product Manager will establish the AI product vision and strategy at PayPal, leading cross-functional teams to create innovative and trustworthy AI products that transform financial services globally.

Lead operations analytics across NVIDIA's ODM ecosystem, develop data-driven models, implement governance frameworks, and ensure efficient collaboration for AI supply chain enhancement.

As an Automation Engineer, you'll build automation pipelines, collaborate on experimental needs, program instrumentation, and integrate with data science, enhancing research capabilities.

The Developer Relations Manager will support AI-native startups by providing technical guidance on NVIDIA technologies, fostering partnerships, and collaborating to solve engineering challenges.

The role involves leading R&D in Generative AI, optimizing Large Language Models, and collaborating with cross-functional teams to enhance AI-driven products.

Lead a team of data scientists to develop AI-powered products using large language models and other machine learning technologies. Collaborate cross-functionally to operationalize models and drive business outcomes.