{"id":1092740,"url":"https://alion.io/job/obvio-senior-computer-vision-engineer","title":"Senior Computer Vision Engineer","company":{"id":679042,"name":"Obvio","domain":"obvio.ai","url":"https://alion.io/company/obvio","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":78,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":70,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Carlos, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":147000,"max_usd":283000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1332},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Data Augmentation","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Synthetic Data","optional":true}],"status":"live","first_seen_at":"2026-09-21T15:02:05Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-11-07T20:52:30Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"About Obvio AI\nEach year, more than 40,000 people in the U.S. leave home and never make it back due to traffic crashes. At Obvio, we believe these deaths are preventable. We deploy solar-powered, AI-assisted cameras to enforce traffic laws where pedestrians are most vulnerable, automating enforcement in ways that traditional systems cannot. Our approach has already led to a 50% reduction in reckless driving in early partner cities.\nFounded by the team behind Motive's AI dashcam and backed by Bain Capital Ventures and Khosla Ventures, we are building the intelligence layer for safer streets globally.\nAbout the Role\nObvio deploys AI-assisted cameras to make streets safer. We’re hiring a Senior Computer Vision Engineer to build the models and ML systems behind reliable detection and tracking in real-world traffic environments.\nYou will own the full model-development loop: data strategy, training, experimentation, evaluation, field validation, and continuous improvement. This is a hands-on individual-contributor role for someone who combines strong applied-ML judgment with the engineering discipline to make experiments reproducible, measurable, and fast.\nWhat You’ll Do\nDevelop and improve object-detection and multi-object-tracking models for vehicles, pedestrians, and other road users across challenging real-world conditions.\n\nOwn data strategy for model quality: sampling, labeling, dataset versioning, hard-negative mining, class imbalance, edge cases, and feedback from deployed systems.\n\nDesign rigorous experiments and ablations; distinguish real improvements from overfitting, leakage, noisy labels, or gains that do not survive field deployment.\n\nBuild and evolve reproducible training pipelines with experiment tracking, configuration management, artifact lineage, model registries, metric dashboards, and automated hyperparameter search.\n\nDefine evaluation that reflects product behavior-not only aggregate metrics-including precision/recall trade-offs, class and scenario slices, calibration and tracking quality.\n\nPartner with embedded engineers to optimize models for edge deployment while balancing accuracy, latency, memory & power constraints.\n\nSet technical direction, lead design reviews, mentor engineers, and raise standards for ML rigor, reproducibility, and production readiness.\n\nWhat We’re Looking For\n7+ years in machine learning or computer vision, with a track record of shipping and improving production models.\n\nDeep hands-on experience with object detection and multi-object tracking, including modern architectures, data augmentation and evaluation methods.\n\nStrong understanding of class imbalance, overfitting, dataset leakage, label noise, domain shift, model calibration, and statistically sound validation.\n\nExperience building training infrastructure or platforms that support reproducible experiments, distributed training, hyperparameter search, metric comparison, and model lineage.\n\nStrong Python and PyTorch skills, plus practical experience with large image/video datasets.\n\nExperience validating models on deployed or field-collected data and owning the loop from failure discovery through retraining and verified improvement.\n\nDemonstrated technical leadership across ambiguous, cross-functional work, with clear communication and strong ownership.\n\nBonus Points\nExperience with traffic, automotive, robotics, surveillance, or other video-analytics domains.\n\nExperience with re-identification, trajectory modeling, occlusion handling, camera calibration, or multi-camera tracking.\n\nExperience with active learning, weak supervision, synthetic data, automated labeling, or dataset-quality tooling.\n\nExperience optimizing and deploying vision models on NVIDIA Jetson, Qualcomm Snapdragon, or other edge accelerators.\n\nWhy This Role\nBuild computer vision that directly improves road safety.\n\nOwn the complete path from data and experiments to validated performance in the field.\n\nWork with a small, experienced team where senior engineers have real technical influence.\n\nWhy Obvio\nYour work will help save lives and improve road safety\n\nSeries A of $54M\n\nFast-moving startup environment with meaningful ownership\n\nCompetitive compensation and early-stage equity\n\nObvio is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Obvio considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. Obvio is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. 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