Senior ML Engineer — Online Maps for Self-Driving

Jobright.ai; Mountain View (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Aurora Innovation is seeking a Staff Machine Learning Engineer - Online Maps to lead perception algorithm development for real-time mapping in the Aurora Driver system. You will design and optimize ML models, collaborate across maps, simulation, and safety teams, and push production-ready perception solutions into a high-stakes autonomous driving stack.

Ideal candidates have strong Python/C++ software skills, deep learning expertise, and a track record in CV/ML research or industry work on

Qualifications

• Excellent software engineering skills in Python and/or C++.
• Extensive experience with DL frameworks such as PyTorch, JAX, or TensorFlow.
• Experience in Computer Vision, ML/DL, or AI with industry experience or publications.
• Preferred: experience in self-driving vehicles, autonomy, and robotics projects.
• Contributions to open source projects.
• Strong publication record in relevant conferences/journals.

Responsibilities

• Lead and collaborate to improve perception algorithms powering the Aurora Driver.
• Research and develop state-of-the-art ML models for perception in diverse scenarios.
• Develop verification and validation technologies and techniques.
• Partner with maps, simulation, and safety teams to ensure production readiness without a vehicle operator.
• Build infrastructure and tests for go/no-go decisions for deployment.
• Integrate and deploy production-ready solutions into the Aurora Driver codebase.

Skills

Python

C++

Deep Learning

Computer Vision

Machine Learning

PyTorch

TensorFlow

Open Source Contributions

Robotics Experience

Research Publications

Job description

Aurora Innovation is seeking a Staff Machine Learning Engineer - Online Maps to lead perception algorithm development for real-time mapping in the Aurora Driver system. You will design and optimize ML models, collaborate across maps, simulation, and safety teams, and push production-ready perception solutions into a high-stakes autonomous driving stack.

Ideal candidates have strong Python/C++ software skills, deep learning expertise, and a track record in CV/ML research or industry work on