Machine Learning Jobs in Santa Clara, CA

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.

The Senior Product Manager will lead data classification capabilities in a Data Security platform, overseeing product strategy and collaborating with various teams to drive accuracy and compliance.

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.

As a Distinguished Engineer at Capital One, you'll drive innovation in cloud banking, lead AI infrastructure, mentor engineers, and define technical strategies for scalable solutions with neural networks.

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.

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 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 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.

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 Fraud Program Manager will enhance the fraud risk management program, develop monitoring metrics, manage anti-fraud policy updates, and collaborate across teams to ensure compliance and effectiveness in fraud prevention.

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 Product Manager for AI Infrastructure will define and manage AI compute products, ensuring hardware and software integration for production platforms, while resolving system integration challenges and driving product decisions.

The Compliance Technology Oversight Lead manages machine learning compliance models, partners with engineering for oversight, and ensures alignment with regulatory standards.

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.

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 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 developing LLM applications for automated silicon design, optimizing models, curating datasets, and collaborating with other experts to integrate LLMs into EDA workflows.

As a Machine Learning Engineer, you'll contribute to ML platform development, optimize models, and collaborate with senior engineers on deployment workflows and model optimization for autonomous vehicles.

The Senior ML Inference Engineer will design and operate a deployment platform for ML models onto autonomous vehicle hardware, collaborating with teams to enhance tools and address deployment issues.