Data Science Jobs in Sunnyvale, 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.

As a Senior Group Product Manager, you'll lead a team defining the roadmap for model training systems, ensuring alignment and efficiency across engineering and business needs, while driving product development and mentoring product managers.

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 Lead Product Manager, AI will identify and build AI-powered products, drive growth and customer experience, and collaborate with cross-functional teams.

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 AI/ML Specialist will enhance ML algorithms for fraud and risk, engage with financial clients, and drive technical success with real-world data testing.

The Senior Industrial Engineer will enhance supply chain performance, drive cycle time improvements, develop algorithms for optimization, and collaborate with manufacturing teams.

The Engineering Leader will oversee software and data teams, ensuring product delivery and operational excellence in robotics and IoT systems.

The Market Intelligence Manager will drive strategic analysis, support CEO initiatives, and deliver business insights by analyzing market data and trends.

The Demand Planning Director leads a team to create forecasts and demand schedules, aligning planning strategies with business objectives and collaborating with cross-functional leaders.

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.

Lead and optimize memory procurement plans and strategies while coordinating operations, engineering, product management, and finance across business segments to maximize revenue and growth.

Lead a team of data scientists to enhance infrastructure through data science, focusing on capacity planning, performance optimization, and customer experience.

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

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.

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 role involves driving user growth and revenue for Gemini through product management, AI integration, experimentation, and cross-functional collaboration.

Lead the development of AI-driven analytics applications, collaborate on data insights, mentor juniors, and ensure model performance in a fast-paced environment.

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.

As a Data Science and Machine Learning Software Engineer at NetApp, you will develop algorithms for real-time personalized search and recommendation using IoT data, while working on cloud-based services and analytics.

The intern will develop data-driven solutions using analytics, machine learning, and generative AI, working with large datasets, predictive models, and dashboards. Responsibilities include analyzing business requirements, transforming data, and optimizing data models.

Perform data analysis, build statistical models, and manage machine learning pipelines for product experiments, focusing on large datasets.

Intern will design data-driven analyses, ensure data cleanliness, correlate performance metrics, and support teams with necessary data for decision-making.