Machine Learning Jobs in Sunnyvale, CA

The Senior ML/Research Scientist will develop wearable neurotechnologies, focusing on digital biomarkers and applications for neurological conditions through research and collaboration.

The Director of Data Science leads data-driven initiatives, focusing on strategy, technical execution, and cross-functional collaboration to drive business impact through advanced models and teamwork.

The Senior B2B Marketer will develop and execute marketing strategies, collaborate with Sales, create marketing materials, conduct research, and optimize marketing effectiveness to drive growth in the gaming and 3D industries.

Lead the Sensing Resilience product roadmap for calibration scalability, multi-platform sensing validation, fault recovery, and safe degraded-system driving. Coordinate cross-functional partners (Perception, Hardware, Systems, Simulation, Operations) to translate company goals into deliverables and long-term needs that advance product, business, and safety objectives.

Lead strategic ISV partnerships to integrate NVIDIA software and SDKs into partner data platforms. Drive technical and GTM alignment, influence product strategy, recruit and lead cross-functional teams, promote NVIDIA solutions to architect and developer communities, and surface partner needs to internal product and engineering teams.

Design and develop scalable, high-performance data and API infrastructure for real-time processing. Mentor engineers and collaborate with teams to enhance AI model evaluations.

Responsible for designing experiments to evaluate AI models, developing evaluation methodologies, analyzing performance data, and collaborating on production insights.

Lead full-cycle technical recruiting for engineering and AI teams, owning sourcing, interview design, stakeholder advising, and offer management. Build proactive pipelines, advise on market compensation and hiring strategy, champion recruiting operations and AI-enabled sourcing tools, and continuously improve hiring metrics and candidate experience for senior and principal-level technical hires.

Serve as a strategic talent partner advising executives on hiring strategy, organizational design, and workforce planning. Lead full-cycle recruiting for engineering, AI/ML, infrastructure, and leadership roles while improving recruiting operations, sourcing automation, and candidate experience. Coach managers across the employee lifecycle and use talent intelligence to influence business decisions.

Designs, builds, and evaluates language models for AI security products. Responsibilities include dataset curation, preprocessing, LLM experimentation, safety and robustness evaluation, dashboards, knowledge graphs, model fine-tuning, production integration, monitoring, CI/CD, and ML tooling. Collaborates with researchers and data scientists to automate quality assurance and guardrails while delivering reliable, scalable, and interpretable models.

Lead execution of Product Engineering AI and automation initiatives across photonics products. Build and deploy reusable AI/automation tools, transform engineering data into AI-ready systems, and drive cross-functional adoption to improve development, qualification, manufacturing, and reliability processes.

Develop and maintain Android applications for embedded devices; prototype and debug on hardware (Raspberry Pi, NVIDIA); work with Yocto build systems, Qt/QML, and Git/Stash. Preferred experience with web frameworks, iOS, AR/VR, and machine learning. Collaborate with team, communicate effectively, and support embedded graphics/media and RTOS environments.

As a new engineer at Cerebras, you'll learn their platforms, focusing on programming the Wafer Scale Engine, kernel development, and system performance modeling.

Develop signals to measure the performance of the Waymo driver, analyze data, improve metric quality, and collaborate on evaluation products for autonomous driving software.

The CTO will lead Fathom's technical strategy, focusing on AI governance, building partnerships, defining standards, and advancing AI safety practices.

Lead improvements to behavior and trajectory prediction for autonomous vehicles. Own prediction work within Planning, collaborate with ML, Perception, Simulation, and Systems teams, refine prediction-planning interfaces, define metrics and evaluation frameworks, analyze failures via logs/simulation, and lead technical projects while mentoring junior engineers.

The role involves developing AI applications for VLSI design using machine learning and related technologies. Duties include infrastructure design, AI solution implementation, collaboration with teams, and maintaining design databases.

Manage and grow sales strategies and customer relationships for proteanTecs in the semiconductor industry, ensuring long-term success by aligning solutions with customer needs.

The Director of Application Engineering leads a team of engineers, manages customer support, trains clients on tools, and collaborates with R&D to enhance product features.

As a Software Engineer, you'll develop software solutions for semiconductor equipment, lead projects, troubleshoot complex issues, and collaborate with customers on requirements.

As Director of AV Product Engineering, you will manage product engineering, develop autonomous vehicle capabilities, and lead multiple teams to ensure alignment with company objectives while fostering technical growth and innovation.

Conduct research on reinforcement learning and robotics, collaborate with scientists on publications, and contribute to next-generation autonomy technology.

The Research Intern will assist in projects related to robotics, simulation, and data processing, while collaborating on research publications with scientists and engineers.

Conduct research on autonomous systems, collaborate with scientists on publications, and improve robotic models using large-scale data.

Research Intern will conduct studies on 3D vision topics and collaborate with scientists for research publications related to autonomous driving and robotics.