{"id":826676,"url":"https://alion.io/job/norberthealth-computer-visionml-engineer","title":"Computer Vision/ML Engineer","company":{"id":695228,"name":"Norbert Health","domain":"norberthealth.com","url":"https://alion.io/company/norberthealth","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":{"grade":"B","score":75,"open_postings":8,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Montreal, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":78000,"max_usd":143000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":74},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Edge AI","optional":false},{"name":"Localization","optional":false},{"name":"Machine Learning","optional":false},{"name":"MediaPipe","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"TensorRT","optional":false},{"name":"Triton","optional":false},{"name":"YOLO","optional":false},{"name":"Multimodal AI","optional":true},{"name":"Sensor Fusion","optional":true},{"name":"Triton Inference Server","optional":true}],"status":"live","first_seen_at":"2026-06-22T20:40:25Z","employer_posted_date":"2026-06-22","last_verified_at":"2026-11-07T06:25:07Z","board_verified":true,"closed_at":null,"days_open":137,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":137},"description":"The company\nNorbert is building autonomous robots that deliver healthcare.\nOur AI sensing platform mounts on mobile robots and does the work of a care team member-rounding on patients, capturing vitals without contact (FDA-cleared for pulse and respiratory rate, more in the pipeline), running assessments, documenting to the EMR, and escalating when something's wrong. Autonomously.\nWe're not building demos. We're deployed in real facilities today, monitoring hundreds of patients daily. We're solving one of healthcare's hardest problems: a global nursing shortage that will hit 40% by 2030.\nWe're a small, international team backed by top-tier VCs, with offices in Brooklyn and Paris. We ship things that matter.\nThe position\nWe are looking for our lead deep learning engineer to spearhead the development of our groundbreaking sensing technology.\nWhat you will do:\nDesign, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the edge\nOptimize models for embedded deployment using quantization, pruning, TensorRT, and NVIDIA Triton\nBuild and maintain MLOps pipelines for model training, validation, and performance monitoring\nDevelop video processing pipelines that integrate with both classical signal processing and ML based vital sign extraction\nEstablish engineering best practices and help reduce technical debt as we scale\nContribute to the architecture and implementation of the computer vision stack from research to production\nWhat we look for:\nMaster's or PhD degree in Machine learning / Computer vision\nStrong fundamentals: data structures, CV algorithms, and systems programming\n Strong C++ skills - this is critical for our edge deployment pipeline\nSolid Python proficiency for ML experimentation and tooling\nAbility to work independently, solve complex problems, and drive projects to completion\n5+ years experience deploying computer vision models to production, ideally on resource-constrained devices\nExperience with PyTorch and model optimization for edge AI\nProven ability to take models from research to production on embedded hardware\nNice to haves:\nExperience with NVIDIA Jetson platform, TensorRT, or Triton Inference Server\nMLOps experience (experiment tracking, model versioning, performance monitoring)\nExperience with sensor fusion (RGB, IR, depth cameras)\nBackground in medical devices, regulated environments, or healthcare applications\nExperience working in fast-moving early-stage environments\nWhat we offer:\nReal impact: your code provides care for patients today\nHigh autonomy and technical ownership - you'll shape our computer vision architecture\nWork at the intersection of cutting-edge AI, edge computing, and healthcare\nA talented, excellent, diverse and international team\nCutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing\nTalented, international team tackling meaningful problems in remote patient monitoring\nCompetitive salary\nTransparent, mission-driven culture focused on continuous learning","description_format":"text","description_chars":3069,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Robotic Software & Control Systems","AI Agents","Care Coordination & Population 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