Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

As a Senior Machine Learning Engineer, you will lead projects to enhance the capabilities of autonomous vehicles. Responsibilities include defining team direction, architecting solutions, collaborating with peers, and mentoring junior engineers while leveraging advanced machine learning techniques for perception and prediction tasks.

The Software Engineer will build and improve data infrastructure for Autonomy ML teams by designing Restful APIs and microservices, enhancing data processing pipelines, and supporting data labeling needs. Responsibilities include collaborating with stakeholders to define objectives and deliverables while delivering datasets for ML training and evaluation.

As a Principal Machine Learning Engineer, you will lead R&D for autonomous vehicles, mentoring other engineers and driving projects from prototype to deployment, focusing on advanced machine learning algorithms and software engineering principles.

As a Senior Software Engineer on the ML Data Services team, you will build and improve data infrastructure for Autonomy ML teams, creating scalable microservices, APIs, and processing pipelines while monitoring data quality and collaborating with team leadership.

As a Senior Software Engineer, you will analyze complex software systems, design RESTful APIs, develop metrics and data pipelines, and build machine learning infrastructure for autonomous vehicles. Your role will involve collaboration with cross-functional teams to enhance scalability and flexibility of systems.

As a Senior Machine Learning Engineer, you will contribute to the Perception and Prediction team by driving the development of autonomous vehicle technologies, designing and implementing machine learning solutions, and mentoring junior engineers. You'll work on complex problems to enhance safety and comfort in self-driving cars.

The Software Engineer will build and improve data infrastructure for ML teams by developing REST APIs, scalable microservices, and data processing pipelines. Responsibilities include designing APIs, maintaining data pipelines, and collaborating with leadership on project objectives.