{"id":2039544,"url":"https://alion.io/job/glint-tech-solutions-machine-learning-engineer-egocentric-3d-human-pose","title":"Machine Learning Engineer (Egocentric 3D Human Pose)","company":{"id":3854730,"name":"Glint Tech Solutions","domain":"glinttechsolutions.com","url":"https://alion.io/company/glint-tech-solutions","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":149000,"max_usd":283000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":414},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Localization","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"Imitation Learning","optional":true},{"name":"Inverse Kinematics","optional":true},{"name":"Teleoperation","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-10-07T17:22:34Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-13T18:25:10Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"About the Role\nWe are looking for a Machine Learning Engineer to join our core research and development team focused on recovering accurate 3D human body and hand motion from egocentric (first-person) video.\nHuman demonstration data is the foundation of robot learning, and its quality depends on accurately reconstructing human motion. In this role, you will develop models and production pipelines that transform head-mounted and body-mounted camera streams-including wide-FOV, stereo, motion-blurred, and heavily self-occluded video-into metrically accurate, temporally consistent 3D pose representations for robot policy training and human-to-robot motion retargeting.\nYou will work across the entire perception stack, including camera calibration, data annotation, model training, evaluation, and large-scale deployment. This role is ideal for engineers with strong expertise in both computer vision and deep learning who enjoy solving challenging real-world perception problems.\nResponsibilities\nDevelop state-of-the-art 3D body and hand pose estimation models for egocentric video using monocular and stereo camera systems.\n\nBuild models for 2D/3D keypoint estimation, SMPL/SMPL-X, MANO, and full-body motion reconstruction.\n\nAddress challenging egocentric vision problems, including severe self-occlusion, motion blur, rolling shutter artifacts, truncated limbs, extreme viewpoints, and hand-object interaction.\n\nDesign and maintain camera geometry and calibration pipelines, including fisheye and wide-FOV camera models, stereo calibration, triangulation, and coordinate frame alignment.\n\nImprove temporal consistency and physical plausibility using filtering, kinematic constraints, multi-view fusion, and multi-modal sensor integration.\n\nBuild scalable annotation, evaluation, and quality assurance pipelines for large-scale human motion datasets.\n\nOptimize large-scale model training and high-throughput inference pipelines for production environments.\n\nCollaborate closely with robotics engineers to convert reconstructed human motion into high-quality robot training data.\n\nContribute to system architecture, engineering best practices, and the long-term evolution of the perception platform.\n\nMinimum Qualifications\nBachelor's, Master's, or PhD in Computer Science, Machine Learning, Computer Vision, Robotics, or a related field.\n\n3+ years of experience building and deploying machine learning systems.\n\nHands-on experience with 3D human pose estimation, hand pose estimation, or human motion tracking from video.\n\nStrong understanding of multi-view geometry, camera calibration, triangulation, coordinate transformations, and projection models.\n\nStrong Python programming skills and proficiency with PyTorch or TensorFlow.\n\nSolid knowledge of modern deep learning techniques, model training, evaluation, and production ML workflows.\n\nStrong analytical and problem-solving skills with the ability to thrive in a fast-paced collaborative environment.\n\nPreferred Qualifications\nExperience with egocentric perception systems, AR/VR headsets, smart glasses, or wearable capture rigs.\n\nExpertise with SMPL, SMPL-X, MANO, inverse kinematics, markerless motion capture, or hand-object pose estimation.\n\nFamiliarity with egocentric vision datasets and benchmarks.\n\nExperience with modern video and 3D learning architectures, including Video Transformers, diffusion-based motion models, or 3D CNNs.\n\nExperience building multi-camera capture systems, synchronization, and calibration infrastructure.\n\nExperience with human-to-robot motion retargeting, teleoperation, imitation learning, or dexterous manipulation.\n\nExperience developing annotation tools, active learning pipelines, or large-scale data quality systems.\n\nPublications at leading conferences such as CVPR, ICCV, ECCV, NeurIPS, SIGGRAPH, or 3DV, open-source contributions, or demonstrated impact in applied AI systems.\n\nWhat We Offer\nCompetitive salary and equity package\n\nComprehensive medical, dental, and vision insurance\n\n401(k) retirement plan\n\nGenerous paid time off and company holidays\n\nPaid sick leave\n\nOpportunity to work alongside leading researchers and engineers in robotics, computer vision, and AI\n\nHigh-impact role building cutting-edge perception systems for next-generation robotics","description_format":"text","description_chars":4269,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Retirement plans","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Professional Services","Recruiting & 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