<div>About Stack: Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stacks autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industrys unique demands.</div>About the Role: The Auto Labeling team at Stack develops large ML models. These models leverage state-of-the-art multi-sensor fusion techniques, integrating data from lidars, cameras, radars, and IMUs. The goal is to generate high-quality labeled data, essential for training and evaluating Stacks onboard perception models. This role offers the chance to make significant design contributions, work with extensive autonomous vehicle datasets, and collaborate with various onboard and offboard consumers of labeled data. Responsibilities: <ul> <li>Design, evaluate, and deploy a causal large ML models for high-quality labeled data generation from multi-sensor inputs.</li> <li>Work with state-of-the-art techniques in large-scale distributed model training and evaluation.</li> <li>Collaborate with onboard and offboard downstream consumers throughout the development lifecycle, from requirements gathering to evaluation and ongoing communication.</li> <li>Contribute to the overarching vision of building safety-critical and robust onboard and offboard perception systems.</li> <li>Uphold Stack’s culture of engineering excellence.</li> </ul> Qualifications:  <ul> <li>Degree in Computer Science, Machine Learning, Robotics, or related field</li> <li>Masters or PhD preferred</li> <li>3+ years building ML systems</li> <li>Experience with distributed training systems</li> <li>Autonomous vehicle space experience is a plus</li> <li>Strong Python engineering skills, particularly PyTorch</li> <li>Strong experience with GPUs; CUDA experience is a plus</li> <li>Ability to work in a fast-paced startup environment while maintaining high-quality standards</li> </ul>   #LI-SS1<div>We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity. Check out our <a href="https://stackav.com/join/policy">Privacy Policy.</a> Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.</div>