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.

Responsible for developing and optimizing plasma processes for semiconductor equipment, including diagnostics, research, and coordination with the factory on solutions.

Seeking a Technical Program Manager to drive software releases, collaborate with engineering teams, and ensure product quality amidst dynamic requirements.

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 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.

The senior analyst will design, implement, and support demand planning solutions using SAP IBP, focusing on statistical forecasting and machine learning to enhance supply chain decision-making.

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 product marketing and management for HMI's eBeam computing platform, develop market strategies, manage product roadmaps, and enhance customer engagement in the semiconductor market.

The role involves developing networking solutions, conducting technical meetings, and collaborating with customers to drive AI hardware implementations.

Design and build a scalable failure-attribution framework for heterogeneous CPU/GPU clusters: collect high-fidelity telemetry, implement low-overhead tracing, automate root-cause classification (hardware, software, environment), and enable proactive resiliency measures like migration or checkpointing.

Design and implement developer tooling to debug, profile, and analyze next‑gen graphics and neural-rendering workloads. Collaborate with research and architecture teams, write high-performance C/C++ code, perform design and peer reviews, document requirements, and work with QA to validate features.