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.

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.

The Senior Product Manager will lead the development of The Trade Desk's infrastructure, focusing on scalability, security, and optimizing complex systems to support high-performance workloads. Responsibilities include modernizing core systems and collaborating with cross-functional teams to enhance product capabilities and performance.

The Technical Product Manager will lead the development and scaling of an AI platform, collaborating with engineering and designing strategies for automation and integration with cutting-edge AI models.

Lead AI platform development at Jerry.ai, optimizing automation and improving customer experiences through collaboration with engineering and strategic partnerships.

Manage and optimize GPU capacity and compute resources, develop data models for governance, analyze needs, and collaborate across teams for efficient resource usage.

As an ML Engineer, you'll design and implement end-to-end autonomy solutions, optimize ML models, and collaborate across teams to enhance robotics applications.

As a Process Analyst, validate and improve AI-generated process maps, assess quality, and collaborate with stakeholders to enhance product offerings.

Manage and grow sales strategies and customer relationships for proteanTecs in the semiconductor industry, ensuring long-term success by aligning solutions with customer needs.

The Director of Application Engineering leads a team of engineers, manages customer support, trains clients on tools, and collaborates with R&D to enhance product features.