Data Science Jobs in Santa Clara, CA

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.

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.

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.

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 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.

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

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

The Senior System Safety Engineer will perform safety analysis and develop safety concepts for autonomous vehicle technology, ensuring safety in software releases and collaborating with engineers for effective implementation.

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.

Define and implement the long-term vision and strategy for AI/ML platforms, collaborating with various stakeholders to enhance AI capabilities and ensure high standards of user experience.

The Senior Account Manager will drive revenue growth in the Healthcare sector, managing key customer relationships, creating strategies, and delivering NVIDIA's value proposition to executive decision-makers and developers.

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

The AI Program Manager leads AI/ML program initiatives, aligning business goals with technical execution, managing cross-functional teams, and ensuring effective delivery of AI solutions.

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

The Research Platform Scientist will build high-efficiency experimental pipelines, collaborating with scientists and engineers to enhance throughput in molecular biology efforts.

The Senior Developer Relations Manager will drive the adoption of NVIDIA's technologies in agriscience by engaging developers and partners, demonstrating solutions, and providing technical resources to foster innovation.

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

Lead a cross-functional team to develop AI-driven software solutions, leveraging large-scale data analysis and machine learning technologies.

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.

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 research and development in Generative AI, enhance conversational AI capabilities, and deliver AI powered products while collaborating with cross-functional teams.

Lead the GenAI Digital Assistant team at Capital One, overseeing the development of AI-powered products and leveraging advanced machine learning techniques for conversational applications.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

The Sr Manager, SMB Analytics oversees data analytics functions, leading teams to align analytics initiatives with business strategies and deliver high-quality insights.

The Product Development Engineer drives testability and manufacturability of circuits, performs yield analysis using data science techniques, and interfaces with various engineering teams to optimize silicon yield and quality.