Aurora Innovation is hiring a Staff Machine Learning Engineer - Online Maps to join the Maps ML team. You will be responsible for providing reliable map data to the Aurora Driver by developing solutions for real-time world changes.
What You'll Do
- Lead and collaborate with the Online Maps autonomy team to improve, ideate, and implement perception algorithms for the Aurora Driver.
- Research and develop state-of-the-art deep learning and machine learning models for perception under challenging, diverse scenarios.
- Develop novel verification and validation technologies and techniques.
- Partner with engineers from online maps, simulation, and safety to ensure technology readiness for operation without a vehicle operator.
- Build infrastructure and tests that support critical go/no go decisions for deploying the Aurora Driver.
- Integrate, test, and deploy production-ready solutions into the production codebase.
What We're Looking For
- Excellent software engineering skills in Python and/or C++.
- Extensive experience in a deep learning framework such as PyTorch.
- Extensive experience in Computer Vision, Machine Learning, Deep Learning, or other relevant AI areas, evidenced by industry work or a publication record.
Nice to Have
- Relevant industry experience in self-driving vehicles, autonomy, or robotics.
- Contributions to open source projects.
- A strong track record in machine learning, as evidenced by top-tier publications in fields like computer vision (CVPR, ECCV, ICCV, IJCV), machine learning (ICML, NeurIPS, JMLR, PAMI), robotics (RSS, IJRR), or graphics (SIGGRAPH, TOG).
Technical Stack
- Python
- C++
- PyTorch
Team & Environment
You will work within the Maps ML team, collaborating closely with autonomy, simulation, and safety engineers.
Benefits & Compensation
- Base salary range: $189,000 - $303,000 per year.
- Eligible for equity compensation.
Work Mode
This position offers a hybrid work arrangement.
Aurora Innovation is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, national origin, age, sex, gender identity, sexual orientation, marital status, pregnancy, ancestry, veteran status, disability, or any other status protected by law. We also consider qualified applicants with criminal histories consistent with applicable law and provide reasonable accommodations for individuals with disabilities.
