Machine Learning Engineer II - 3D Perception
Skills
Computer ScienceAutonomous SystemsAutonomous VehiclesBattery Electric VehicleElectrical EngineeringKnowledge SharingModel Validation
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree in a technical field with 3+ years of relevant industry experience, or Master's degree with 1+ years of relevant experience, or equivalent practical experience
- Experience developing machine learning models for computer vision, perception, robotics, autonomous systems, or a closely related domain
- Strong programming skills in Python and PyTorch with production-quality coding experience
- Experience training evaluating and improving deep learning models using large-scale datasets
- Experience working with image-based and/or 3D perception systems
- Solid understanding of deep learning architectures used for perception applications
- Experience debugging model behavior analyzing metrics and proposing practical improvements
- Ability to independently execute complex machine learning work within well-defined problem areas
- Experience collaborating cross-functionally to integrate ML models into larger software systems
- Strong problem-solving skills in an environment with evolving technical challenges and requirements
Nice to have
- Collaborative
- Independent
- Detail-oriented
- Problem-solver
- Mentorship
Day to day
- Design and improve machine learning models for Torc's perception systems, with a strong focus on Bird's Eye View and 3D perception capabilities.
- Build production-quality Python and PyTorch workflows for training, evaluation, and inference across large-scale perception datasets.
- Analyze model performance, troubleshoot failure modes, and collaborate with cross-functional teams to integrate robust perception solutions into autonomous driving software.