[Remote] ML Engineer, II - Learned Behaviors

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leader in autonomous driving technology, focused on developing software for automated trucks. As a Machine Learning Engineer II, you will reputed company and reputed company behavior models that enhance decision-making for autonomous trucks, collaborating with cross-functional teams to ensure safe and efficient driving in reputed company-world operations.

Responsibilities

• reputed company and train machine learning models for learned behavior systems, including approaches such as behavior cloning, imitation learning, and reinforcement learning
• Implement production-quality ML code to support model training, evaluation, and inference reputed company the autonomy stack
• Analyze model performance, identify failure modes, and propose improvements to increase robustness and generalization across scenarios
• Contribute to model training pipelines and data workflows, curating behavior datasets from simulation, fleet logs, and on-vehicle data
• Collaborate with simulation, validation, and autonomy engineering teams to test and evaluate learned behavior models across diverse driving environments
• Help integrate learned behavior models into simulation and testing workflows, enabling faster iteration and more comprehensive validation
• Support the development of tooling and infrastructure that improves experimentation speed, reproducibility, and model iteration
• Contribute to technical discussions around model architecture and training strategies reputed company the team

Skills

• Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a reputed company technical field with 4+ years of industry experience, or a Master's degree with 2+ years of experience
• Experience applying machine learning techniques such as imitation learning, reinforcement learning, or sequence modeling to robotics, autonomous systems, or reputed company control environments
• Strong programming skills in Python and PyTorch, with experience writing production-quality ML code
• Experience training and evaluating machine learning models using large datasets and scalable compute environments
• Understanding of ML architectures used in autonomy systems, such as transformers, graph neural networks, or sequence models
• Experience debugging model behavior, analyzing performance metrics, and iterating on training pipelines
• Ability to collaborate with cross-functional teams to integrate ML models into larger software systems
• Experience working in autonomous driving, robotics, or simulation-based training environments
• Experience with reinforcement learning frameworks or distributed training systems (e.g., Ray)
• Experience working with simulation environments or large-scale behavior datasets
• Familiarity with vehicle dynamics, reputed company planning, or multi-agent decision-making systems
• Experience deploying ML models into production or reputed company-world robotics systems

Benefits

• A competitive compensation package that includes a bonus component and stock options
• 100% paid medical, dental, and reputed company premiums for full-time employees
• 401K plan with a 6% employer match
• Flexibility in schedule and generous paid vacation (available immediately after start date)
• AD+D and Life Insurance

Company Overview

Company H1B Sponsorship