Machine Learning Jobs in Santa Clara, CA

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.

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.

Lead game analytics teams to transform player data into strategies for enhancing engagement and revenue across key titles. Manage projects, mentor analysts, and collaborate with product leaders for decision-making.

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 Senior Staff Product Manager leads the strategy and roadmap for AV capabilities at GM, collaborating with cross-functional teams to define product vision, analyze metrics, and navigate complex decisions.

The role involves building and optimizing large language models for the ServiceNow platform, requiring AI/ML expertise and collaboration with various stakeholders.

The Director of Developer Relations leads the strategy for engaging developers around CoreWeave's AI SaaS offerings, creating content, fostering community, and improving the onboarding experience.

The Senior Product Marketing Manager will position CoreWeave's SUNK offering, develop messaging, and collaborate with engineering and sales teams to enhance product adoption and market understanding for AI training workloads.

The VP of Agentic Systems will lead data science research and development, focusing on AI systems to enhance cybersecurity operations, requiring strong leadership and collaboration across technical teams.

Develop and deploy machine learning solutions for autonomous vehicles, mentoring engineers and collaborating on model implementations.

As a Senior Research Scientist, you will advance machine learning for autonomous driving, design algorithms, mentor, and publish at conferences.

The role involves building scalable infrastructure for simulated tests, improving automation, and mentoring other engineers in software best practices.

As a Principal Machine Learning Engineer at Zscaler, you will lead AI/ML projects, optimize systems, and collaborate on cybersecurity solutions while mentoring engineers.

The Staff Product Manager will lead the product vision and roadmap for AV capabilities, ensuring successful delivery and alignment across teams while applying analytical insights to measure progress and drive improvements.

The role involves building machine learning models, data analysis, and partnering with various teams to enhance customer experiences in financial services.

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.

Design and build core backend services for a cloud-agnostic ML compute platform. Integrate with GPU hardware and orchestration, improve performance, scalability, reliability, and drive large cross-team initiatives to support ML training and deployment.

As an Engineering Manager - Sensor Alignment, you will lead teams focused on the calibration and alignment of sensors for autonomous vehicles, manage engineers, and drive technical direction and practices.

Lead the development of automated ML-driven map reconstruction systems. Architect and implement pipelines to validate and maintain map primitives, ensuring reliability across large-scale deployments.

The Senior ML/AI Modeler will automate risk investigations using AI, improve productivity through technology, and deploy ML systems at scale, while collaborating across teams to enhance performance and decision-making.

The role involves developing and deploying AI systems to automate risk and compliance processes, and driving strategic initiatives across teams to enhance productivity and decision-making.

The Senior Lead Machine Learning Engineer will design, develop, and implement machine learning systems, collaborating with teams to solve business problems using machine learning applications.

The Investment Director will lead venture capital investments, focusing on AI initiatives, strategic relationships, and cross-functional coordination in AI/ML execution while mentoring team members.

The role involves leading corporate venture capital initiatives, sourcing deals, managing investments, and collaborating on AI and ML projects. It requires mentoring and strategic communication with senior executives.

Lead the transformation of enterprise security through AI, redesigning operations for efficiency, implementing analytics for risk identification, and unifying security systems into an AI-enabled architecture.