{"id":4201525,"url":"https://alion.io/job/stack-av-research-intern-phd-autonomy","title":"Research Intern (PhD), Autonomy","company":{"id":176392,"name":"Stack AV","domain":"stackav.com","url":"https://alion.io/company/stack-av","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Pittsburgh, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"GitHub","optional":true},{"name":"SLAM","optional":true},{"name":"World Models","optional":true}],"status":"live","first_seen_at":"2026-11-12T18:22:23Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T22:23:41Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Stack:\nStack 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.\nIf you are an Internal Candidate, please apply via our Internal Job Board.\nIntern Program:\nWe 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.\nWe 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.\nAbout The Team: \nOur 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.\nPotential internship research areas could be...\nAutolabeling\n3D perception/tracking/SLAM\nLong range perception\nAutomatic mapping\nPrediction\nDeep decision making\nWorld Models\nDistributed, multi-stage ML architectures\nMinimum Qualifications:\nCurrently enrolled in a PhD program in a relevant field (3+ years into program preferred)\nStrong programming skills in Python or C++\nExperience with ML frameworks such as PyTorch\nStrong foundation in Computer Vision, Machine Learning, Simulation, Reinforcement Learning\nAbility to develop, train, and validate AI/CV/ML models\nExperience in SOTA deep learning techniques, e.g. multi-modal foundational models\nExperience working and communicating cross functionally in a team environment\nPreferred Qualifications:\nTrack record of research excellence demonstrated by grants, fellowships, patents, or publications at top conferences such as CVPR, ICCV, ICRA, IROS, etc.\nStrong track-record of published research\nStrong programming experience using python and pytorch\nPrior software engineering or research experience in an internship, work experience, or widely used contributions in open source repositories (e.g. GitHub)\nWe 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.\nCheck out our Privacy Policy.\nPlease 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. 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