ML Engineer, II - Learned Behaviors

About this role

As a Machine Learning Engineer II at Torc, you will develop and deploy behavior models that enhance decision-making for autonomous trucks. Collaborating with cross-functional teams, you will focus on building, validating, and refining machine learning models to ensure efficient and safe freight operations.

What you'll do

• Develop and train machine learning models for learned behavior systems.
• Implement production-quality ML code for the autonomy stack.
• Analyze model performance and propose improvements.
• Curate behavior datasets from various sources.
• Collaborate on testing and validating models across environments.
• Support tooling and infrastructure development for model iteration.

What they're looking for

• Experience in machine learning techniques like imitation and reinforcement learning.
• Strong programming skills in Python and PyTorch.
• Background in training and evaluating ML models with large datasets.
• Understanding of ML architectures used in autonomy.
• Ability to debug models and analyze performance metrics.
• Collaborative skills for integrating ML models into larger systems.

Benefits

• Competitive compensation package with bonus potential.
• Collaborative and energetic team culture.
• Supports health and work/life balance.
• Resources for career development.
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