Machine Learning Jobs in San Jose, CA

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.

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

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

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.

As a Staff Machine Learning Engineer, you'll design and develop VoIP infrastructure, ensure system integrations, and improve telephony platform performance while mentoring peers.

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.

Design and develop AI conversational agents and intelligent search systems. Collaborate on scalable AI solutions, mentor team members, and enhance existing products.

The role involves designing AI agents, building intelligent search capabilities, collaborating on scalable solutions, and delivering high-quality products while mentoring colleagues.

As a Software Engineer, you will design, develop, and debug software solutions for semiconductor equipment, leading projects, and troubleshooting complex issues.

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

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

Lead the product management for the quoting team, optimizing marketplace performance, driving carrier integrations, and ensuring accurate quotes for customers.

The Data Scientist 1 will build data models, manage analytical projects, and leverage data insights for business strategies, utilizing tools like SQL, Python, and data visualization software.