Machine Learning Jobs in Sunnyvale, CA

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.

Design, develop, and debug software solutions for semiconductor equipment, leading complex projects and communicating project requirements to customers.

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

As a Machine Learning Engineer, you will develop models for NLP and code-generation systems, analyze data, and improve AI performance using advanced algorithms. You'll manage the entire ML lifecycle and ensure effective communication of model benefits across the organization.

Lead the development and deployment of advanced machine learning models focusing on NLP, while ensuring model integrity and communication with stakeholders.

Join Waymo's Simulator Team to develop ultra-realistic sensor data and perception simulation for autonomous vehicles using advanced ML technologies. Collaborate with foundational AI research teams and drive innovation in simulation realism.

Architect and develop a high-performance ML runtime for autonomous vehicles, optimizing for both onboard and offboard systems while collaborating with Waymo ML practitioners and enhancing tooling for performance analysis.

Design and oversee the development of robust data platforms for training and evaluating ML models, focusing on autonomous driving. Collaborate with multiple teams and optimize data processing pipelines.

As a Machine Learning Engineer/Scientist, you will develop ML systems for cryopreservation research, manage data pipelines, and deploy models for scientific insight.

As an MLOps engineer, you will develop optimized data pipelines, enhance data engine architecture, and integrate foundation models while working closely with DoD customers.

Lead the Inference ML team in developing tools and APIs for large-scale ML applications, enhancing performance and usability, while collaborating across engineering teams.

This role involves improving AI and ML infrastructure for researchers by identifying bottlenecks, optimizing performance, and collaborating with diverse teams.

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

Lead a team in advancing large-scale machine learning through research in efficiency and optimization, particularly for LLMs, while collaborating with engineering and product teams to implement innovations into production.

The role involves managing complex projects in autonomous systems, collaborating with teams to prioritize developments, assess requirements, and communicate progress while ensuring effective project management practices.

As a Staff Machine Learning Engineer, you will design, build, and deploy ML systems, optimize performance, and collaborate with teams to integrate AI solutions.

The role involves exploring ideas in deep learning, managing machine learning project life cycles, and collaborating on autonomous driving technology.

The Staff Engineer, Machine Learning leads the development of end-to-end driving models for autonomous driving, focusing on reinforcement learning and multi-modal sensor data integration. They collaborate with various engineering teams to ensure robust model deployment and validation in real-world scenarios.

The Senior Machine Learning Engineer will enhance recommendation systems, employ AI/LLM technologies, and drive AI innovation for content discovery and user engagement.

The Data Scientist will develop analytical models and AI solutions, collaborate with teams, and enhance business operations with data insights.

Seeking a Principal Software Engineer for architecting ML systems, unifying codebases, and leading cross-team architecture for Waymo's foundation models.

Design, develop, and maintain distributed backend systems for ML inference, ensuring performance and reliability at scale. Collaborate with ML engineers and manage cloud infrastructure.

The role involves designing and optimizing bidding algorithms, enhancing real-time bidding systems, analyzing marketplace dynamics, and driving projects to deliver impact.