Machine Learning Jobs in San Jose, CA

Develop efficient ML solutions for perception including sensor fusion, obstacle detection, scene understanding, and robust onboard systems.

The role focuses on researching and developing AI-based methodologies and simulation tools for autonomous vehicle algorithms, ensuring effective evaluation and scenario generation.

Research scientist specializing in robotics and AI, focusing on developing algorithms, conducting research, and implementing learning-based manipulation and control methods.

The Sr. Machine Learning Engineer at Zscaler will build and implement AI features, design resilient microservices, and ensure operational excellence in digital experiences.

The role involves improving search-based question answering systems using traditional machine learning and generative AI, leading a team of engineers, and developing algorithm frameworks for conversational search applications.

The Staff Algorithm Engineer will lead algorithmic solutions for advanced imaging systems, focusing on image modeling and processing from concept to productization, engaging with other teams to optimize overall system design.

As Senior Director of Product Management, you will guide the vision and delivery of DealCloud for Legal, enhancing its applications for law firms by collaborating with stakeholders and leading a product development team.

The Graphics and NPU Technologist defines and drives Dell's graphics and NPU strategy, leading R&D efforts and influencing industry standards to enhance client products.

The role involves designing, implementing, and deploying machine learning models for anomaly detection in cloud infrastructure, ensuring high availability and system resiliency.

The Product Management Director, Common Services AI will drive AI innovations, managing product strategy, team collaboration, and AI development to enhance Salesforce's offerings.

Drive execution of high bandwidth memory products at Micron Technology, managing cross-functional teams and overseeing product strategy and development.

As a Staff Product Manager, you will define strategy for the High Performance Memory product portfolio, manage customer engagements, lead cross-functional teams, and drive product development to enhance Micron's position in the HBM market.

Lead development of AI/ML systems for robotics and manufacturing, implementing machine learning architectures and collaborating with cross-functional teams.

Lead strategic initiatives and drive product design for AI-driven user experiences, collaborating with multidisciplinary teams to enhance productivity.

The Principal Software Engineer will lead the development of AI-driven solutions on ServiceNow, enhancing operational efficiency and employee experience through software engineering and automation.

The Senior Engineer will work on Java and AI/ML projects, driving innovative solutions to enhance customer experiences and operational efficiency.

Lead the development of advanced data science models, collaborating with stakeholders, ensuring data quality, and mentoring junior scientists.

The Machine Learning System Software Architect will lead high-performance machine learning software architecture, collaborating with teams to optimize AI solutions, evaluating architecture for performance, and driving innovation in AI training systems.

The Solutions Architect will support customers in deploying GPU-accelerated ML solutions on cloud platforms and provide technical mentorship, enhancing AI inference pipelines, and collaborating with engineering teams to optimize deployments.

As an AI/ML Intern, you will design machine learning algorithms, develop deep neural networks, and work with various sensor technologies, enhancing autonomous robots performance.

Lead software engineer in Generative AI, developing infrastructure for AI applications, collaborating across teams, and mentoring junior members.

The AI Solution Manager role involves leading AI solution deployment, customer engagement, and cross-functional teams to develop and deliver tailored AI applications for Fortune 500 clients.

This role involves advancing the Streaming Monetization product, collaborating with sales teams, conducting market research, managing revenue analytics, and ensuring effective sales enablement and business operations.

The Research Engineer will design evaluations for CBRN risks, develop infrastructure for testing AI models, communicate results, and collaborate with experts in AI and CBRN.

The role involves developing AI systems for automated scientific research, publishing findings, and collaborating with a development team.