Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Tech Lead Manager for the Perception Team.

In this role, you will

• Be responsible for leading a team that owns a deployed ML subcomponent of the perception system. 
  • This will include defining technical direction for the team, setting and executing against milestones, allocating resources and owning all aspects of a deployed production ML model - from metrics and ML research to on-road execution and performance.
• Be responsible for managing a team of engineers and researchers and growing their careers.

Required Qualifications

• Excellent software engineering skills in Python and/or C++ and contemporary ML frameworks (e.g., PyTorch)
• Extensive exp in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.g., as evidenced by industry experience, publication record)
• 3+ years of industry experience directly managing a team of engineers/researchers.
• Strong problem solving skills and ability to innovate

Desirable Qualifications

• Relevant industry experience (prior work on self-driving vehicles, autonomy, and/or robotics projects)
• Contributions to open source project(s)
• Strong track record in any field related to machine learning, as evidenced by top-tier publications
• Examples of relevant fields and conferences: computer vision (e.g., CVPR, ECCV, ICCV, IJCV), machine learning (e.g., ICML, NeurIPS, JMLR, PAMI), robotics (e.g., RSS, IJRR)

The base salary range for this position is $189K - $302K per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-JL261

 #Mid-Senior