{"id":1086215,"url":"https://alion.io/job/attentive-ai-research-intern-computer-vision","title":"Research Intern, Computer Vision","company":{"id":3301,"name":"Attentive.ai","domain":"attentive.ai","url":"https://alion.io/company/attentive-ai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":{"grade":"B","score":78,"open_postings":6,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":68,"computed_at":"2026-10-13T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":80,"max":90,"currency":"USD","period":"hour","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Self-Supervised Learning","optional":false},{"name":"TensorFlow","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"LLM","optional":true},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-08-31T06:55:14Z","employer_posted_date":"2026-08-31","last_verified_at":"2026-10-14T00:07:23Z","board_verified":true,"closed_at":null,"days_open":43,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":43},"description":"About Attentive.ai:\nAttentive.ai builds AI for construction and field services. Our takeoff and estimating platform, Beam AI, is used by 1,200+ contractors across the US and Canada and has completed over 500,000 takeoffs. Attentive.ai is transforming the field services and construction industries with our flagship AI solution - Beam AI. Our platform empowers businesses to double their bidding capacity and accelerate growth through automation and intelligent insights. More than 1k+ businesses across the U.S. and Canada already use our products to boost sales velocity and streamline operations. We have raised $30.5M in Series B funding, accelerating our mission to make advanced AI tools accessible, practical, and impactful in the real world. We are proudly Backed by Insight Partners, Peak XV (Surge), InfoEdge, Tenacity and Vertex Ventures.\nAbout the Role:\nAs a Research Intern, you'll work on the computer vision and deep learning that power automated takeoff and estimation. The core problem is unsolved: a plan set is hundreds of pages drafted to dozens of CAD conventions, where the same primitive is a wall, a hatch pattern, or a leader line depending on context a model has to infer.\nYou'll own one scoped research problem end to end, paired with a senior researcher - framing it, running the experiments, and building a prototype evaluated on real data. It won't be a side project; it'll be something on the team's roadmap.\nWhat You'll Do:\nOwn one research problem end to end: framing, data, experiments, and a prototype that runs on real drawings\nTrain and evaluate deep learning models for object detection, segmentation, or structured extraction on vector and raster construction drawings\nExplore self-supervised and representation learning on our corpus of unlabeled drawings\nWork with multimodal signals, combining visual layout, geometry, and text\nDesign the evaluation for your problem, and present results to the research team\nWhat We're Looking For:\nCurrently pursuing a Master's, or PhD in Computer Science, AI/ML, Data Science, Mathematics, Electrical Engineering, or a related field\nStrong foundations in Python and at least one deep learning framework (PyTorch or TensorFlow)\nCoursework or project experience in computer vision, image processing, or machine learning\nCuriosity about applied research and a willingness to iterate quickly on ideas\nComfortable working in a fast-paced, startup-like environment with close collaboration\nClear written and verbal communication skills\nNice to have:\nPrior research experience, publications, or projects in computer vision or deep learning\nFamiliarity with vector graphics and CAD formats (SVG, DXF, DWG, IFC)\nLLM and NLP experience like structured extraction, retrieval over long documents\nExperience with cloud environments (GCP, AWS, or Azure)\nHow We Work:\nEmpirical over theoretical - we'd rather run the experiment than argue about it\nTruth-seeking, including about our own results. 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