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# Senior Computer Vision Engineer

- **Company:** Obvio Inc
- **Location:** San Carlos, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Architectural Patterns, Computer Vision, Configuration Management, Python (Programming Language), Machine Learning, Object Detection, Object-Oriented Software Development, Management of Software Versions, Pytorch, Model Validation, Data Strategy, Low Latency, Machine Learning Operations, Data Augmentation, NVIDIA Jetson
- **Published:** November 11, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-computer-vision-engineer-san-carlos-ca--80fb1bdf-486a-4af7-8186-493a740a3b3e

## About the Role

Computer Vision, Artificial Intelligence (AI), Law Enforcement, Solar Power, Computer Vision, Continuous Improvement, Object Modeling, Experiment Design, Configuration Management, Metrics, * 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.
 * Demonstrated technical leadership across ambiguous, cross-functional work, with clear communication and strong ownership.

Bonus Points

 * Experience with traffic, automotive, robotics, surveillance, or other video-analytics domains.
 * Experience with re-identification, trajectory modeling, occlusion handling, camera calibration, or multi-camera tracking.
 * Experience with active learning, weak supervision, synthetic data, automated labeling, or dataset-quality tooling.
 * Experience optimizing and deploying vision models on NVIDIA Jetson, Qualcomm Snapdragon, or other edge accelerators.

## Description

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.

What You'll Do

 * Develop and improve object-detection and multi-object-tracking models for vehicles, pedestrians, and other road users across challenging real-world conditions.
 * Own data strategy for model quality: sampling, labeling, dataset versioning, hard-negative mining, class imbalance, edge cases, and feedback from deployed systems.
 * Design rigorous experiments and ablations; distinguish real improvements from overfitting, leakage, noisy labels, or gains that do not survive field deployment.
 * Build and evolve reproducible training pipelines with experiment tracking, configuration management, artifact lineage, model registries, metric dashboards, and automated hyperparameter search.
 * Define evaluation that reflects product behavior-not only aggregate metrics-including precision/recall trade-offs, class and scenario slices, calibration and tracking quality.
 * Partner with embedded engineers to optimize models for edge deployment while balancing accuracy, latency, memory & power constraints.
 * Set technical direction, lead design reviews, mentor engineers, and raise standards for ML rigor, reproducibility, and production readiness.