TLM, Perception
Aurora Innovation (View all Jobs)
Mountain View, California
Interview Process
1. Simplified real-world coding task on Coderpad.io 2. Time-boxed take-home assignment 3. Face-to-face meeting with teammates.
Programming Languages Mentioned
C++, Python
Who We Are
Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly to make transportation safer, increasingly accessible, and more reliable and efficient than ever before. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.
At Aurora, you'll solve massively complex problems alongside other passionate, smart people, growing as an expert while broadening your field of knowledge. For Aurora’s latest news, visit aurora.tech or follow us on LinkedIn.
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.
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Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech.
For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.
To learn more about life at Aurora please visit our company culture page.
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