Principal Machine Learning Engineer - Team Lead - Behaviors (Prediction & ML Planner)

Position Overview

• Location Type: [Not specified]
• Employment Type: [Not specified]
• Salary: [Not specified - Estimated range provided]

This role involves leading and executing motion planning and prediction projects for self-driving vehicles. It requires a passion for Level 4 autonomous driving, intellectual challenges, and career growth within a fast-growing company. The team develops ML models to enable vehicles to navigate complex traffic scenarios.

Requirements

• Education: Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience.
• Leadership Skills: Proven leadership skills at executing large, complex technical initiatives.
• Management Experience: Extensive experience managing and leading engineers.
• Deep Learning Frameworks: Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Programming Skills: Fluency in Python, including standard scientific computing libraries.
• Autonomous Vehicle Experience: Proven track record of designing, developing, and deploying ML solutions for autonomous vehicles or robotics.
• Software Engineering Principles: Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and testing methods.

Responsibilities

• Define and execute motion planning and prediction projects to improve self-driving vehicle capabilities.
• Lead, manage, and grow a team of engineers.
• Design and lead the implementation of behavior models using machine learning, generative AI, and reinforcement learning.
• Productionize and deploy solutions onto autonomous vehicle fleets.
• Collaborate with perception, simulation, data platform, and integration teams to validate and enhance on-road performance.
• Communicate strategies, progress, and challenges to executive leadership.

Bonus Points

• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry.
• Experience with state-of-the-art generative AI and/or reinforcement learning paradigms.
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.).
• Strong programming skills in C++ and/or CUDA programming.

Company Information

[Not specified - Information about the company is missing from the provided text.]