Machine Learning Jobs in San Jose, CA

The role involves full product management scope for CPQ Pricing, focusing on strategy, execution, and stakeholder collaboration to enhance AI-infused pricing workflows.

Lead a cross-disciplinary design team to drive product design strategy, enhance user experiences, and leverage AI tools. Collaborate with other departments to ensure data usability and design excellence.

The role involves building and optimizing large language models for the ServiceNow platform, requiring AI/ML expertise and collaboration with various stakeholders.

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 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.

The role involves applying AI and machine learning techniques to enhance NAND Flash development, improving efficiencies through collaboration with design and project teams.

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.

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.

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.

Responsible for developing AI/ML solutions, managing teams, understanding product requirements, and creating data processing pipelines to enhance enterprise services.

Lead game analytics teams to transform player data into strategies for enhancing engagement and revenue across key titles. Manage projects, mentor analysts, and collaborate with product leaders for decision-making.

As a Principal Associate Data Scientist, you'll build AI and machine learning models to analyze data, partner with teams, and deliver impactful products.

In this role, you will design, develop, and implement VoIP infrastructure, integrate LLMs into voice platforms, and enhance AI-driven workflows while collaborating with various engineering teams.

Lead the design and implementation of VoIP integrations, build AI-powered services, ensure platform performance, mentor colleagues, and improve software quality.

Design and implement VoIP infrastructure, collaborate on AI platform integration, improve operations, code quality, and mentor colleagues in telecommunications and AI.

Lead multi-year roadmap and technical requirements for ML/NPU subsystems across AI and compute markets. Define reusable technology direction, translate product goals into prioritized requirements, align development with market strategy, track industry trends, set KPIs, and mentor teams while collaborating cross-functionally with architecture, product, engineering, and customers.

Lead the design and implementation of machine learning applications, collaborate with cross-functional teams, optimize ML systems, and ensure responsible AI practices.

Own end-to-end labeling operations for AI/ML projects, manage labelers, design workflows, ensure quality, and drive process improvements.

Develop and apply machine learning models using data from HPC simulations, focusing on plasma and electromagnetic simulations in the semiconductor industry.

Develop and apply advanced modeling for plasma processing applications using physics-based and machine learning approaches, collaborating with experimental teams.

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

The Enterprise Account Executive will acquire new customers and expand relationships with Fortune 1000 accounts, managing the full sales cycle.

The Lead Product Manager, AI will identify and build AI-powered products, drive growth and customer experience, and collaborate with cross-functional teams.