Senior ML Engineer — Online Maps for Self-Driving

Jobright.ai

Mountain View (CA)

On-site

USD 180,000 - 240,000

Full time

6 days ago
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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

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