Machine Learning Engineer - Foundation Models & Generative Driving Scenarios - Remote

Overview

The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation.

In Short

• Build multimodal foundation models for autonomous driving.
• Develop algorithms for realistic driving scenario generation.
• Leverage large-scale ML infrastructure for innovative solutions.
• Collaborate with teams on Perception, Planning, and Simulation.
• Influence driving behavior through advanced ML models.
• Work on improving testing environments for autonomous systems.
• Engage in complex urban environment problem-solving.
• Focus on behavior forecasting and motion planning integration.
• Advance overall vehicle behavior through collaborative efforts.
• Participate in validation of driving performance.

Requirements

• Strong background in machine learning.
• Experience with foundation models and generative algorithms.
• Proficiency in programming and data analysis.
• Familiarity with autonomous driving systems.
• Ability to collaborate across multidisciplinary teams.
• Knowledge of simulation and validation processes.
• Experience with large-scale ML infrastructure.
• Strong problem-solving skills in complex environments.
• Excellent communication and teamwork abilities.
• US-based candidates only.

Benefits

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge technology.
• Collaborative and innovative work environment.
• Professional development opportunities.
• Work with a talented and diverse team.
• Flexible work hours.
• Health and wellness programs.
• Impactful work in the autonomous vehicle industry.
• Access to advanced machine learning resources.
• Potential for career advancement.