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The Senior Machine Learning Engineer will work with the Perception and Prediction team to enhance autonomous vehicle capabilities. Responsibilities include defining team direction, problem formulation, solution architecture, prototyping, and collaborating with team members to mentor junior engineers. A strong background in machine learning algorithms and software engineering principles is required.
The Principal Machine Learning Engineer will drive R&D initiatives for autonomous vehicles, define team direction, prototype and deploy solutions, mentor engineers, and influence business impact through technology. Responsibilities include working with machine learning algorithms for various applications, leading technical initiatives, and software engineering practices.
The Principal Engineer will lead a team in building and maintaining scalable data processing pipelines for autonomous vehicles, focusing on cloud ETL technologies and ensuring high-quality code. This role includes mentoring engineers and managing project timelines while collaborating with stakeholders to achieve technical objectives.
As a Senior Technical Program Manager in Software Infrastructure, you will lead cross-functional teams to drive software program execution for autonomous vehicle technology. Responsibilities include managing projects, identifying program risks, and improving organizational effectiveness while communicating with engineering leaders and stakeholders.
The Senior Software Engineer will analyze and decompose complex software systems, design and implement Restful APIs, develop metrics and data pipelines in Python, and build large-scale Machine Learning infrastructure to analyze on-road performance and enhance regression detection in autonomous vehicles.
The Senior Machine Learning Engineer will focus on developing and deploying advanced motion planning algorithms for autonomous vehicles by merging machine learning with classical methods. Responsibilities include designing core deep learning algorithms, optimizing software, mentoring junior members, and refining a data-driven model for real-world applications.
As a Senior Machine Learning Engineer, you will work on the Perception and Prediction team to enhance capabilities of autonomous vehicles. Responsibilities include defining project direction, architecting solutions, prototyping, and collaborating with team members while mentoring junior engineers.
As a Principal Machine Learning Engineer, you will lead R&D initiatives to enhance autonomous vehicle capabilities. Responsibilities include defining the team's technical direction, solving technology problems, architecting solutions, prototyping, and mentoring engineers. Collaborate on complex projects and foster a culture of innovation and excellence within the team.
As a Principal Engineer, you will lead a team focused on building and maintaining scalable data processing pipelines for autonomous vehicle data. Responsibilities include mentoring engineers, managing timelines, and designing cloud ETL solutions. You will ensure high-quality code and champion system design.
The role involves managing cross-functional teams to ensure successful delivery of infrastructure programs. Responsibilities include driving alignment, project management, risk identification, and improving organizational effectiveness while closely collaborating with engineering leaders.
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