Machine Learning Jobs in San Jose, CA

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.

Lead the Seller User Experience team, focusing on enhancing customer satisfaction through innovative technology solutions and user feedback. Collaborate with stakeholders and mentor teams to achieve superior user experiences.

Develop algorithms for RTL synthesis, optimize digital logic, and integrate ML methods for EDA tools. Engage in comprehensive software engineering processes to enhance hardware design productivity.

Design and build a scalable failure-attribution framework for heterogeneous CPU/GPU clusters: collect high-fidelity telemetry, implement low-overhead tracing, automate root-cause classification (hardware, software, environment), and enable proactive resiliency measures like migration or checkpointing.

You will design and implement high-performance software while applying machine learning techniques to complex problems in electronic design automation.

The role involves designing, building, and deploying compute and networking solutions for AI and HPC, supporting customers with integration and performance debugging.

The role involves creating technical content for NVIDIA's AI platform, collaborating with engineers, and engaging with the developer community on AI topics.

The Director of Product Management will establish product vision, lead strategy development, enhance customer experience, ensure profitability, and collaborate cross-functionally to maximize efficiency and innovation.

The Technical Program Manager will drive software releases, collaborate with engineering teams, develop robust processes, and ensure quality standards in AI-focused projects.

The role involves developing new methodologies for advertising conversion modeling using advanced machine learning techniques, supporting various quantitative research aspects. Candidates should have extensive experience in statistical and deep learning methodologies, contribute to research, and build generative models for ad optimization.

The role involves understanding datacenter workloads, developing GPU product proposals, and working cross-functionally to create go-to-market plans.

Design and implement algorithms and tools for chip-level placement, reshaping, and global routing. Develop computational geometry, placement, routing and graph-optimization solutions, apply machine learning for design space exploration, extend GUIs for debugging/visualization, and collaborate with design teams to deploy high-performance C++ tools impacting next-generation AI chip physical layouts.

The Technical Program Manager will oversee enterprise software releases, manage technical alignment with partners, and drive collaboration across engineering and product teams to ensure quality and timely delivery of AI solutions.

This internship involves developing machine learning systems for 3D applications, collaborating closely with engineers and researchers, and contributing to AI and graphics R&D.

Senior Machine Learning Engineer role focusing on building and improving AI evaluation infrastructures, collaborating with a multidisciplinary team, and contributing to the development of a scalable evaluation platform.