Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA
The HRIS Analyst will manage Oracle HCM system administration, enhance user experience, troubleshoot issues, conduct data validation, and ensure systems comply with data protection laws. They will work closely with HR, Payroll, IT, and Finance to improve processes and provide system support, alongside maintaining data integrity and developing user documentation and training.
The Senior Engineer will analyze software systems, design and implement RESTful APIs, develop metrics and data pipelines using Python, and build large scale Machine Learning infrastructure for autonomous vehicles. The role requires collaboration with cross-functional teams and problem-solving with advanced algorithms.
The Senior Machine Learning Engineer will work within the Perception and Prediction team to drive project impact for autonomous vehicles, focusing on formulating problems, architecting solutions, and implementing state-of-the-art machine learning algorithms for various applications.
The Senior Software Engineer will analyze complex software systems, design RESTful APIs, develop metrics and data pipelines, and build large-scale Machine Learning infrastructure to enhance autonomous vehicle understanding. Collaboration with cross-functional teams is essential for scalability and testability in software design.
As a Senior Machine Learning Engineer, you will work on autonomous vehicle projects, defining team direction, architecting solutions, and productionizing models. Your role includes collaborating with engineers, mentoring juniors, and leveraging ML techniques across various applications while ensuring high-performance outcomes.
As a Senior Software Engineer on the GT Regression team, you will analyze complex software systems, design and implement RESTful APIs for data pipelines, and build machine learning infrastructure for autonomous vehicle performance analysis. Collaboration with cross-functional teams is key to influence scalable and testable design solutions.
As a Senior Machine Learning Engineer, you will drive impact in developing ML solutions for autonomous vehicles, defining team directions, prototyping, productionizing, and mentoring junior engineers while collaborating with a dynamic team.
As a Principal Machine Learning Engineer, you will lead R&D initiatives to enhance the capabilities of autonomous vehicles. Your responsibilities include defining team direction, advising on technology solutions, formulating and architecting problems, and overseeing the deployment of solutions on autonomous fleets. You'll also mentor other engineers and foster a culture of innovation.
As a Principal Machine Learning Engineer, you will lead R&D initiatives to enhance autonomous vehicle capabilities. Responsibilities include defining team direction, architecting solutions, prototyping, deploying systems, and mentoring engineers. You will utilize your expertise in machine learning algorithms and software engineering to drive project success and promote a culture of innovation.
In this role, you will lead research and development initiatives to enhance the capabilities of autonomous vehicles. Key responsibilities include designing and implementing solutions, mentoring engineering teams, and promoting innovation within the organization while driving significant business impact through technology solutions.
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