Senior Computer Vision Engineer - Edge AI for Safer Streets

Obvio

San Carlos (CA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Early-stage equity
Meaningful ownership
Fast-moving startup environment

Job summary

Obvio is 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—from data strategy to field validation—and work hands-on to ensure reproducible, measurable improvements in edge deployments. This role offers meaningful ownership in a fast-moving startup with a mission to reduce traffic fatalities.

Qualifications

  • 7+ years in ML or computer vision with production-model experience.
  • Hands-on experience with object detection and multi-object tracking.
  • Strong understanding of class imbalance, overfitting, dataset leakage, and model calibration.
  • Experience building training infrastructure for reproducible experiments and hyperparameter search.
  • Strong Python and PyTorch skills with large image/video datasets.
  • Proven cross-functional leadership and ownership.

Responsibilities

  • Develop and improve object-detection and multi-object-tracking models for vehicles, pedestrians, and other road users.
  • 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 - 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.

Skills

Object detection
Multi-object tracking
Python
PyTorch
Edge deployment
Experiment pipelines
Leadership
Data strategy
Model evaluation
Reproducible research

Tools

NVIDIA Jetson

Job description

Obvio is 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—from data strategy to field validation—and work hands-on to ensure reproducible, measurable improvements in edge deployments. This role offers meaningful ownership in a fast-moving startup with a mission to reduce traffic fatalities.

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