Senior Machine Learning Engineer - Learned Planning/Reinforcement Learning

<div> <p><strong><span data-contrast="none">About the Company</span></strong><span data-contrast="none"> </span><span data-ccp-props="{"134233117":false,"134233118":false,"335557856":16777215,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="none">At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335557856":16777215,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="none">A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. </span><a href="https://torc.ai/daimler-testing-automated-trucks-public/"><span data-contrast="none"><span data-ccp-charstyle="Hyperlink">Now a part of the Daimler family</span></span></a><span data-contrast="none">, we are focused solely on developing software for automated trucks to transform how the world moves freight. </span><span data-ccp-props="{"134233117":false,"134233118":false,"335557856":16777215,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="none">Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335557856":16777215,"335559738":240,"335559739":240}"> </span></p> </div> <div><strong>Meet the Team</strong><br>As a Senior Machine Learning Engineer – Learned Planner / Reinforcement Learning, you will develop and deploy machine learning models that drive decision-making for autonomous trucks. Working closely with teams across perception, prediction, planning, and safety, you will build learned behavior systems that enable safe, efficient, and human-like driving in real-world freight environments.<br><br>This role focuses on owning model development and delivery for scoped problem areas, contributing to architecture decisions, and driving improvements in model performance, reliability, and iteration speed within the autonomy stack.<br><