stackav · Pittsburgh, PA or Remote (US)
Skills: Python
About Stack: Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's 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 industry's unique demands. If you are an Internal Candidate, please apply via our Internal Job Board . Intern Program: We are seeking the best and brightest interns that are eager to contribute to transformative AI solutions. As an early-stage start up, we expect our interns to be an integral part of the team while gaining collaboration opportunities with industry leaders to grow your career and research. We welcome students who are enrolled in university, pursuing a doctorate degree and are currently located in the United States. Our 2027 Summer internship will be at least 12 weeks in duration (note: we may have flexibility to continue into the fall semester). We offer competitive pay and support CPT. Please note we are a remote first company- interns already based in the Pittsburgh area are welcome to work in-person. About The Team: Our Autonomy team brings together experts in artificial intelligence, perception, machine learning, decision-making, and controls to drive the most visible and high-impact initiatives behind our autonomous vehicle product. As an intern, you’ll dive into cutting-edge research challenges and contribute to breakthroughs that directly shape the future of our technology. Potential internship research areas could be... Autolabeling 3D perception/tracking/SLAM Long range perception Automatic mapping Prediction Deep d…
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