Artificial Intelligence Jobs in Santa Clara, CA

As a Senior Lead AI Engineer, you will design, develop, and optimize AI systems while collaborating with a cross-functional team to implement AI-driven products.

As a Lead AI Engineer, you will design and develop AI components, collaborate across teams, improve performance, and contribute to Capital One's AI vision.

As a Senior Data Scientist at Capital One, you will lead AI-powered product development using machine learning technologies, focusing on NLP and large language models to enhance customer experiences.

The Senior Lead AI Engineer will design and develop AI-driven products, enhance scalable AI systems, and collaborate with cross-functional teams.

Lead and grow an AI engineering team to design, build, deploy, and support large-scale, responsible AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, observability). Make strategic build-vs-buy decisions across open-source and SaaS tools, optimize LLM performance for cost/latency/throughput, contribute to technical vision and roadmap, and mentor engineers to advance AI capabilities across the company.

Lead positioning, messaging, and go-to-market for Zero Trust solutions addressing agentic AI. Develop market education, buyer personas, sales enablement, and partner with product to shape roadmap and customer narratives.

Manage the full eDiscovery lifecycle for litigation matters: scope and execute ESI collection, processing, review, and production. Use Relativity One, BrainSpace, iPro and other tools, ensure QC and metrics reporting, coordinate cross-functional stakeholders, mentor teams, and produce attorney-facing reports.

Lead and deliver large-scale AI/ML programs and the next-generation Generative AI platform. Build and grow a world-class TPM discipline, manage cross-functional delivery, mitigate technical risk, and drive execution across product, engineering, design, and data science to achieve business impact in regulated environments.

Build and productionize large-scale data processing, featurization, and inference pipelines for multimodal and vision models. Improve inference frameworks for reliability and cost-efficiency, drive scalability across compute, storage, and queries, and develop evaluation methods to support rapid experimentation and production deployment.

Design and implement scalable ML infrastructure solutions, mentor junior engineers, own technical projects, and collaborate across teams to solve complex AI/ML problems.

Design and build end-to-end software products for autonomous vehicles, leading projects in full-stack development, cloud infrastructure, and machine learning pipelines while mentoring junior engineers.

The Principal AI/ML Engineer will lead the AV ML Infra team at GM, focusing on developing scalable ML infrastructure and guiding cross-functional collaboration while driving technical projects from inception to completion.

As a Staff AI/ML Full-Stack Engineer at GM, you'll design and develop end-to-end software products, own technical projects, and mentor junior engineers while focusing on cloud infrastructure and scalable applications.

The Staff AI/ML Engineer will design and implement scalable ML infrastructure solutions, lead projects, mentor peers, and enhance ML productivity at GM.

Lead design, build, deploy, and support foundational AI systems and products (LLM training/inference, similarity search, guardrails, evaluation, observability). Optimize large-scale AI performance and collaborate with cross-functional teams to produce responsible, scalable AI solutions.

Lead product marketing for CoreWeaves Agentic AI platform: define positioning, messaging, GTM programs, sales enablement, partner GTM, customer evidence, thought leadership, and market intelligence to drive adoption of agentic AI infrastructure.

Lead design, development, deployment, and optimization of large-scale AI/ML systems (training, inference, orchestration, observability). Collaborate cross-functionally to build responsible, scalable generative AI and agentic platforms, improve performance and cost, and shape long-term ML systems roadmap.

Support the ISG executive leader by driving strategy, operations, and cross-functional program execution. Lead strategic planning, KPI operating model, business reviews, communications, and coordination with corporate support teams to enable division objectives and strategic initiatives.

The Patent Counsel will protect NVIDIA's technology investments, collaborate with internal clients on patent strategy, manage outside counsel, and develop patent portfolio strategies. Requires a strong legal background in patent law and technology.

The Staff Product Manager will own the strategy for AI-enhanced developer tools, driving adoption, coordinating across teams, and defining success metrics for AI workflows in the automotive sector.

Lead the development of AI software components for Capital One, including model training, inference, and system optimization. Collaborate with cross-functional teams to deliver groundbreaking AI solutions, ensuring quality and scalability while mentoring junior team members.

The role involves developing AI foundation models, collaborating with cross-functional teams, and conducting applied research to enhance customer experiences using advanced AI techniques.

As a Lead AI Engineer at Capital One, you will design and develop AI systems, collaborate with cross-functional teams, and optimize AI solutions for performance and scalability.

As a Distinguished AI Engineer, you will design and develop AI software, partner with cross-functional teams, and create optimized AI systems to enhance customer interaction and improve banking services.

This role involves partnering with teams to develop AI-powered technology, advancing applied research in AI, and delivering impactful models. Candidates will work on foundational models and leverage new technologies to optimize customer interactions with banking services.