Machine Learning Jobs in Sunnyvale, CA

Leads the vision, strategy, roadmap, and execution for Coupang’s search and discovery product portfolio. The role focuses on reimagining AI and ML-powered search, relevance, personalization, and recommendation experiences. Responsibilities include hiring and developing product managers, monitoring performance metrics, optimizing the search product portfolio, and aligning senior stakeholders. The leader will drive high-impact consumer experiences at massive scale and collaborate across global, cross-functional teams.

Define next-generation data center GPU products by analyzing workloads, especially large language model training and inference. Identify customer opportunities, develop GPU value propositions and product proposals, and collaborate with engineering, operations, field teams, cloud partners, and sales on go-to-market plans, positioning, collateral, and tools. The role requires technical knowledge of GPU, software, and computing architectures, along with 7+ years of technology experience.

Build scalable evaluation, introspection, visualization, and metrics tools for autonomous vehicle machine learning models. Develop workflows processing billions of examples and connect offline evaluation with data, training, simulation, and launch decisions. Collaborate with modeling, data, infrastructure, and validation teams to improve model performance, safety, reliability, and development speed. Responsibilities include software design, implementation, maintenance, code reviews, and production tooling across backend, frontend, and data infrastructure.

Designs, implements, verifies, and supports motion-control algorithms, robotic manipulation behaviors, and safety-monitoring systems for surgical robots and instruments. The role applies control theory to mechatronic and tele-robotic systems, analyzes clinical and dynamic safety risks, integrates hardware, firmware, software, and mechanisms, supports products through manufacturing, and communicates system performance across the organization.

Build Moveworks’ agent evaluation and reward-modeling platform. Design configurable rubrics, deterministic validators, LLM judges, confidence scoring, and calibration against human-labeled trajectories. Analyze simulator-to-production divergence, maintain evaluation datasets, fine-tune smaller judge models, and develop process-level reward signals for optimizing prompts, tool selection, planning, retrieval, and routing. Establish versioned scenarios and reliable measurement standards for agent performance in stateful enterprise environments.

Write and edit accessible journalism about AI for a general audience. Responsibilities include pitching ideas, drafting articles, editing researchers’ and writers’ work, setting editorial standards, and helping launch a consistent media program. The founding editor will shape editorial direction and clarify technical material without oversimplifying it.

Develop AI/ML solutions for semiconductor design and verification workflows. Build scalable pipelines that extract and analyze EDA logs, reports, run artifacts, and design metadata. Create models, heuristics, and analytics for STA, DRC/LVS, ECO optimization, debug, and regression acceleration. Integrate solutions into CAD infrastructure, automation systems, schedulers, and design databases while collaborating with EDA vendors.

Lead design and deployment of production-grade ML systems (ranking, retrieval, LLMs). Drive architecture decisions, run experiments and evaluations, build scalable feature pipelines and monitoring, mentor engineers, and collaborate cross-functionally to integrate AI into products and scale ML capabilities.

Build and lead development of Microsoft's AI-driven real-time bidding platform. Responsibilities include architecting agentic bidding systems, developing large-scale data validation and simulation frameworks, ensuring reliability and operational excellence, supporting incident response, exploring reinforcement learning and multi-agent systems, and mentoring engineers. The role operates across AI, distributed systems, streaming data, and scalable cloud infrastructure to optimize advertising auctions.

Drive adoption of NVIDIA Omniverse and physical AI technologies across software partners. Advise engineering teams on architecture, coding, integrations, and reference solutions; create technical enablement materials; lead workshops and technical engagements; resolve implementation blockers; communicate partner feedback internally; and support product launches and technical go-to-market activities. The role requires extensive software development experience, industrial or robotics technology expertise, and the ability to influence engineers, executives, and product teams.

Drive data-informed decisions across carrier growth, product launches, user acquisition, and partnerships. Partner with marketing, product, and business development teams; design and analyze A/B experiments; identify scalable growth levers; conduct complex analyses using machine learning models; and automate manual processes to improve operational efficiency.

The Business Operations Associate will drive data-informed decisions across growth, product, and business initiatives. Responsibilities include analyzing customer and partner performance, designing and evaluating A/B experiments, identifying profitable acquisition and partnership opportunities, leveraging machine learning models for insights, and automating manual processes to improve operational efficiency. The role partners with marketing, product, and business development teams and communicates findings to stakeholders ranging from frontline employees to executives.

Lead data-driven business operations and analytics initiatives across acquisition, partnerships, and product growth. Design and analyze A/B experiments, use machine learning and SQL for complex analyses, identify scalable growth levers, inform strategic decisions, and automate manual processes to improve operational efficiency. The role partners with marketing, product, and business development teams and communicates insights from frontline teams to the C-suite.

Drive data-informed decisions across growth, product, and business initiatives. Partner with marketing, product, and business development teams; design and analyze A/B experiments; identify acquisition and partnership growth levers; use advanced machine learning models for business analysis; and automate manual processes to improve operational efficiency. Communicate insights and recommendations to stakeholders ranging from frontline employees to executives.

Build production systems for simulation infrastructure capacity planning and resource optimization. Responsibilities include demand forecasting, quota allocation, optimization algorithms, telemetry data pipelines, outcome analysis, and automation across CPU, GPU, and TPU resources. The role partners with Simulation, Infrastructure, and Finance teams, provides technical leadership, and mentors junior staff.

Lead and grow a team of AI Deployment Engineers to design, deploy, and scale secure, production-grade AI systems for enterprise customers. Own technical success across architecture, reliability, security, adoption, and expansion; act as senior technical escalation; partner cross-functionally to create reusable patterns, operating models, measurement, and product feedback loops while hiring and developing talent.

Leads a global 20-person Data Science and Data Engineering organization within Search and Discovery. Oversees optimization of LLMs, ranking models, and personalization systems; leads experimentation and metrics synthesis; and partners with senior leaders to improve customer outcomes. The role requires deep expertise in statistics and machine learning, strong executive communication, and experience managing directors and global teams.

Design and build scalable, reliable ML training infrastructure for advanced AI research and model development. Optimize distributed training performance, resource utilization, data loading, and costs across heterogeneous GPU and cloud environments. Improve platform observability, debuggability, operational excellence, and user experience. Collaborate with ML engineers, research scientists, and cross-functional partners to integrate new technologies supporting intelligent driving systems.

The Principal AI/ML Engineer will lead the AV ML Infra team, overseeing scalable ML infrastructure, project ownership, collaboration, and team mentorship in AI and ML innovation at GM.

As a Senior Machine Learning Engineer, you will manage the entire lifecycle of safety-critical ML perception models, optimize performance, and ensure reliable deployment on embedded systems.

As a Staff AI/ML Engineer, you'll enhance developer productivity, mentor engineers, drive best practices, and implement scalable solutions for AV tools and services.

Defines the technical vision and architecture for NVIDIA’s next-generation autonomous driving stack, integrating classical safety systems with learning-based autonomy. Leads engineering teams across prediction, planning, control, decision-making, and safety; oversees productionization of end-to-end driving pipelines and foundation models; and partners with research teams to bring robotics, embodied AI, and generative AI advances into scalable autonomous vehicle systems.

Advise Product, Engineering, Design, Marketing, and business teams on privacy, data protection, accessibility, consumer protection, copyright, contracts, IP, and emerging AI and autonomy technologies. Lead compliance, safety, patenting, invention harvesting, product integration reviews, and legal process development. Translate legal guidance into actionable product workflows, manage complex cross-functional projects, monitor regulatory developments, review external-facing documents, and support M&A transactions.

Designs and deploys large-scale NVIDIA AI and HPC GPU infrastructure for cloud partners and strategic customers. Leads technical engagements across the customer lifecycle, supports infrastructure development and production, builds networking and compute proofs of concept, troubleshoots performance and scaling issues, and delivers technical presentations and workshops. Partners with sales and business teams to identify opportunities and provides customer feedback to influence product strategy.

Lead Clover-wide AI product vision and roadmap, scaling generative-AI and predictive solutions for merchant commerce. Drive cross-functional delivery, AI governance, MLOps enablement, commercialization, and people leadership to launch and optimize AI-enabled POS and SaaS offerings.