Backed by GTMfund.
About the role
Obvio 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.
What they're looking for
- 7+ years in machine learning or computer vision, with a track record of shipping and improving production models
- Deep hands-on experience with object detection and multi-object tracking, including modern architectures, data augmentation and evaluation methods
- Strong understanding of class imbalance, overfitting, dataset leakage, label noise, domain shift, model calibration, and statistically sound validation
- Experience building training infrastructure or platforms that support reproducible experiments, distributed training, hyperparameter search, metric comparison, and model lineage
- Strong Python and PyTorch skills, plus practical experience with large image/video datasets
- Experience validating models on deployed or field-collected data and owning the loop from failure discovery through retraining and verified improvement
More about this role
Each 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.
Founded 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.
Obvio 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.
You 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.
Develop and improve object-detection and...
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