Machine Learning Jobs in San Jose, CA

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

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

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 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.

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 Staff Machine Learning Engineer, you will design and develop VoIP infrastructure and integrate LLMs into voice platforms while enhancing operational practices.

Design and develop AI/ML solutions, focusing on scalable software and user experience, while collaborating across teams to integrate generative AI technologies.

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.

This role involves optimizing power efficiency in GPUs using AI, analyzing power data, developing models, and collaborating across teams.

Design and validate GPU and datacenter resiliency (RAS) features, model reliability/availability from component to datacenter, analyze field failure data, develop verification testplans, run AVF/liveness simulations, and collaborate across hardware and software teams to improve fault detection, containment, and recovery.

Analyze real-world GPU workloads and field failures to root-cause silent data corruption and intermittent faults; design, develop, and validate CUDA diagnostics; collaborate with architects and software teams to improve resiliency and safety; build automation and debug infrastructure for resiliency and safety testing.

The Product Development Engineer drives testability and manufacturability of circuits, performs yield analysis using data science techniques, and interfaces with various engineering teams to optimize silicon yield and quality.

Assist R&D in expanding collaboration networks, engaging with partners, conducting research on emerging technologies, and supporting project management activities.

Seeking a Senior Data Scientist with expertise in AI, adept at leading projects and collaborating in a start-up environment, focusing on recommendations and innovations.

The role involves leveraging AI for pre-silicon functional verification, collaborating with engineers to innovate verification methodologies.

The engineer will leverage AI to enhance pre-silicon verification processes, collaborate with teams, and improve methodologies using advanced tools.