{"id":3628541,"url":"https://alion.io/job/true-talent-solutions-partners-computer-vision-ml-research-engineer","title":"Computer Vision ML / Research Engineer","company":{"id":4415660,"name":"True Talent Solutions Partners","domain":"truetalentsolutionspartners.com","url":"https://alion.io/company/true-talent-solutions-partners","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180000,"max":245000,"currency":"USD","period":"year","gross":null,"usd_annual":245000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Open3D","optional":false},{"name":"OpenCV","optional":false},{"name":"Perception","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"YOLO","optional":false}],"status":"live","first_seen_at":"2026-11-02T17:39:48Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-04T14:56:22Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the Role\nJoin an industrial computer vision team building a perception system that turns stereo camera images into accurate, auditable inventory measurements. You will own the core vision and machine learning pipeline, helping bring research methods into reliable production use.\nWhat You'll Do\nBuild and improve stereo reconstruction, depth estimation, segmentation, and 3D volume measurement workflows.\n\nIntegrate computer vision models and develop point-cloud cleanup, ground-plane estimation, and scene-stitching methods.\n\nEvaluate reconstruction quality and volume accuracy, and investigate failure modes using real-world sensor data.\n\nDefine calibration assumptions and develop confidence metrics for production-grade measurements.\n\nMove research pipelines into robust systems that support industrial inventory measurement.\n\nWhat We're Looking For\nFour or more years of experience in computer vision or perception machine learning engineering.\n\nStrong Python and PyTorch skills, with experience using OpenCV and Open3D.\n\nHands-on experience with stereo vision, depth estimation, point clouds, 3D reconstruction, and 3D geometry.\n\nExperience shipping computer vision systems that use real-world sensor data, including camera calibration and volume reconstruction.\n\nBackground in robotics perception, autonomous systems, industrial inspection, photogrammetry, or related areas is valuable.\n\nCUDA, SLAM, YOLO-style models, FoundationStereo, or GPU cloud experience is a plus.\n\nA relevant master's or doctoral degree is beneficial.\n\nCompensation & Benefits\nBase salary: $180,000 to $245,000 annually. 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