Machine Learning Jobs in Sunnyvale, CA

Manage technical programs for generative AI video models, translating research into milestones, coordinating teams, and ensuring successful execution across all phases.

Recruit senior technical roles in Data Infrastructure and Machine Learning Engineering, collaborating with hiring managers and sourcing candidates from diverse platforms.

Seeking a Research Scientist to develop AI models for enhancing 3D reconstruction processes, requiring strong skills in computer vision and neural reconstructions.

Engineer III, Machine Learning develops ADAS driving models using reinforcement learning and multimodal data. Collaborates with cross-functional teams for model training and evaluation.

Manage and mentor a team of software engineers, define technical strategy and roadmap, oversee evaluation platforms and data pipelines, and collaborate across teams to ensure project success in autonomous vehicle technology.

Own end-to-end labeling operations for AI/ML projects, manage labelers, design workflows, ensure quality, and drive process improvements.

The Senior Technical Program Manager will drive the vision and strategy of the Simulator platform, ensuring efficient program execution and alignment of core goals across teams and stakeholders at Waymo.

Develop and apply machine learning models using data from HPC simulations, focusing on plasma and electromagnetic simulations in the semiconductor industry.

The Lead Product Manager, AI will identify and build AI-powered products, drive growth and customer experience, and collaborate with cross-functional teams.

The role involves incorporating machine learning techniques into sensor simulation, working with teams to develop effective models for Lidar, Radar, and Camera systems.

As a Deep Learning Architect, you'll optimize performance for inference servers, benchmark LLMs, develop profiling tools, and collaborate on AI software projects.

Transform foundational research into scalable systems and algorithms, implement efficient learning methods and optimize high-performance data pipelines.

Conduct research and develop algorithms for structured AI models, focusing on efficient data representation, learning, and optimization for enterprise applications. Collaborate with teams to transform theoretical models into practical systems.

The Senior Machine Learning Engineer will develop and enhance Moveworks' NLU and agentic AI capabilities, deliver production-quality code, and solve complex engineering challenges in conversational AI.

As an ML Infrastructure Engineer, design backend components, enhance platform performance, and drive system improvements while collaborating across teams.

As a Staff Technical Lead Manager, you'll enhance driving behavior technologies for Waymo's autonomous vehicles, collaborating across teams to implement data-driven solutions and improving performance and safety.

Lead a team developing multimodal ML frameworks for Tapestry, focusing on machine learning architecture, deployment, and collaboration with stakeholders to enhance energy grid systems.

Lead the product vision for innovative AI technologies, translating research into marketable products, and collaborating with cross-functional teams.

Design, develop, and maintain machine-control and microservice-based software in Java. Collaborate with systems and application teams to gather requirements, implement scalable microservices, troubleshoot and test software, and support cross-functional delivery in a fast-paced semiconductor environment.

This role oversees cross-organizational programs, ensuring operational resilience during market expansions, and driving program outcomes through effective management and deployment strategies.

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.

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.

The Applied Scientist will transform raw data into actionable insights by developing machine learning models for personalization, ranking, and optimization to enhance conversion and revenue. This role emphasizes building production systems, frameworks for experimentation, and communication with team members regarding technical challenges.

The AI Enterprise Engineer will work with enterprise customers to define model specifications, analyze agent behavior, and benchmark models using Bespoke Labs tools, requiring a strong foundation in AI/ML and production deployment.

As a Software Engineer intern, you'll work on AI-driven projects spanning data management, onboard systems, ML infrastructure, simulations, and technical infrastructure, collaborating with experts in various fields.