Machine Learning Jobs in Sunnyvale, CA

Responsible for building AI frameworks for recommender systems on NVIDIA GPUs, developing product strategies, and collaborating with customers to enhance ML lifecycle products.

Manage full-cycle technical recruiting by sourcing candidates for Machine Learning Infrastructure and Data Engineering roles, collaborating with engineering leaders, and improving processes through data analysis.

The Research Engineer will develop and deploy machine learning applications focused on severe weather, collaborating on system processes, and maintaining production environments.

As an Engineering Manager, you will lead a high-performing team, oversee the technical strategy and infrastructure for global electric grid deployments, and ensure systems meet evolving energy needs.

As Regional Vice President, you will drive revenue growth for Aera Technology, leading a sales team and building strategic client relationships.

The Forward Deployed Research Scientist engages directly with AI labs to develop data strategies, fine-tune models, run experiments, and collaborate on publishing research, all in a fast-paced client-focused setting.

Develop and evaluate machine learning algorithms using time-series sensor data, integrate data pipelines with software engineering, and communicate technical information globally.

The role involves improving demand forecast accuracy, implementing ML models, and collaborating with various teams to analyze market trends.

The Staff Technical Program Manager will coordinate software development for XPENG’s AI-driven vehicles, optimize agile practices, and manage program risks while tracking KPIs and OKRs.

Responsible for architecting product strategy, driving collaboration between teams, mastering user domain challenges, and operationalizing user feedback in the development of tools for autonomous vehicle technology.

Lead design, architecture, and deployment of end-to-end ML solutions for onboard autonomous driving. Apply foundation-model alignment, unsupervised pre-training, imitation and reinforcement learning, and scale large-model training pipelines. Collaborate cross-functionally, mentor engineers, conduct research, and productionize foundation models for safe, reliable real-world driving.

Build and deploy scalable ML training and evaluation platforms, drive technical projects and architectural decisions, collaborate with partner teams, prioritize platform improvements, ensure reliability and performance, and mentor junior engineers.

Design, implement, and deploy scalable ML training and evaluation platforms. Own end-to-end projects, make architectural decisions, drive prioritization, collaborate cross-functionally, and mentor engineers to accelerate autonomous driving model development.

Lead the development of AI/ML systems in robotics and manufacturing, designing ML architectures, and collaborating with cross-functional teams.

The role involves optimizing large-scale ML infrastructure for autonomous vehicles, conducting analyses, collaborating with teams, and improving system performance.

Senior individual contributor designing and deploying onboard ML solutions for autonomous driving. Develop models (detection, tracking, trajectory, safe AI), build training pipelines and deployment tooling, translate research into production, collaborate cross-functionally, and mentor engineers.

Design, implement, and deploy ML models for autonomous driving (detection, tracking, trajectory generation). Apply advanced techniques (imitation learning, RL, foundation models), collaborate cross-functionally, and support production ML systems and model deployment.

As a Senior Applied AI and AI Infrastructure Engineer, you will manage AI projects, deploy infrastructure, mentor junior engineers, and apply AI for chip design.

Join Nuro's software team to build platform-level systems across Data Platform, Simulation, or Technical Infrastructure. Work on large-scale distributed systems, storage and compute management, microservices, CI/CD, and performance tuning to support autonomy development and simulation at scale.

Lead Applied AI product initiatives for mobile games by identifying gameplay opportunities, defining AI-driven roadmaps, translating between game design and ML teams, setting mixed technical and game success metrics, and partnering with central tech teams to deploy ML features that improve fun and retention.

The Senior Neural Graphics Scientist will define NVIDIA's Neural Graphics strategy, pioneer neural shading techniques, connect research to products, drive AI innovations, and influence hardware design.

The Machine Learning System Software Architect will lead high-performance machine learning software architecture, collaborating with teams to optimize AI solutions, evaluating architecture for performance, and driving innovation in AI training systems.

Manage complex programs for developing customer-facing geospatial technologies. Oversee the program lifecycle, coordinate with teams, and ensure successful deployment.

Develop ML-first behavior modules for predicting future motions of road users. Collaborate with perception and planning teams to enhance autonomous systems.

Conduct research on AI and robotics, focusing on reinforcement learning, and collaborate on publications and algorithm deployment.