Machine Learning Engineer - Perception Mapping
Designs, trains, and integrates ML models for semantic map element detection in autonomous vehicles. Requires MS/PhD or 5+ years experience in computer vision, deep learning, and Python/PyTorch.
Responsibilities
- Curate, validate, and label datasets for model training and validation
- Research, implement, and train ML models to perform semantic map element detection
- Closely collaborate with validation teams to formulate and execute model validation pipelines
- Integrate models into the greater onboard autonomy system within compute budgets
- Be a technical leader on the team, maintaining coding and ML development best practices and contributing to architectural decisions
Qualifications
- MS or PhD or equivalent experience (5+ years) in Computer Science or related field
- Experience in computer vision or robotics
- Experience with training and deploying deep learning models
- Experience with Python libraries (PyTorch, NumPy)
Bonus Qualifications
- Experience with C++
- Experience with CUDA and/or GPU programming
- Experience with mapping related ML techniques
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