Machine Learning Jobs in San Jose, CA

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.

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.

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.

The Global Head of Sanctions will lead Block's sanctions compliance program, manage escalations, regulatory reporting, and engaging with external agencies while developing and implementing sanctions policies.

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

Lead diverse technology projects and a team to create solutions for regulatory needs, leveraging distributed microservices and collaboration with product managers.

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

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.

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.

As a Manager in Data Science, you'll lead the development of machine learning models, partner with engineering and product teams, and analyze large datasets to enhance customer experiences and prevent fraud.

The Senior Manager will lead the development of AI/ML platforms, manage a technical team, and optimize the ML workflow for large-scale projects.

Lead a Customer Success team, manage key semiconductor accounts, drive customer adoption, and translate technical challenges into solutions for strategic growth.

The Software Engineer, Perception develops autonomous aircraft systems to detect and manage wildfires using real-time data processing and machine learning techniques.

Lead the design direction for AI-powered travel search experiences at Expedia Group, overseeing design teams, setting visions, and collaborating across functions to create user-centered solutions.

Define and evolve product vision and strategy for Autonomous Operations, translating complex problems into actionable product requirements, collaborating with engineering to deliver automation solutions, and incorporating AI/ML capabilities where applicable.

The Principal Software Engineer will lead the development of autonomous systems for satellites, overseeing architecture and capabilities while mentoring engineers. Responsibilities include guiding algorithms for satellite operations and ensuring software integration across mission elements.

As a Product Development Engineer, you will lead product development, manage NPI processes, analyze yield, and collaborate with cross-functional teams while maintaining technical documentation.

Lead the Seller Experience platform engineering at eBay, focusing on architectural refactoring and modernization, mentoring teams, and aligning with strategic goals.

The role involves architecting and developing Chakra, an AI interviewer. Responsibilities include building consistent interview systems, developing evaluation pipelines, fine-tuning models, and ensuring product quality across all candidate experiences.

As a Machine Learning Engineer, you'll define, measure, and improve integrity signals using machine learning methods while innovating new signal frameworks to combat fraud, ensuring real users rely on your solutions.

The NALA Sales Development Manager will drive sales efforts with Cisco, focusing on AI Infrastructure and building strong partnerships, sales plans, and metrics to achieve revenue targets.

The role involves transforming research into products, building diverse datasets, accelerating ML workflows, and collaborating effectively across teams.

The role focuses on leading AI/ML architecture and deployment for scalable solutions in cloud security, shaping technical strategies, and managing the lifecycle of AI models.