Senior Computer Vision Engineer

Obvio

. Develop and improve object-detection and multi-object-tracking models for vehicles, pedestrians, and other road users in challenging real-world conditions .

Posted 9/22/2026full-timeSan Carlos • California • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing object-detection and multi-object-tracking models, with a strong focus on data strategy, model evaluation, and deployment in real-world conditions. Proven ability to lead technical direction, mentor teams, and ensure rigorous machine learning standards.

Highest-signal resume keywords

Object DetectionMulti-Object TrackingPythonPyTorchTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningComputer VisionData AugmentationModel CalibrationHyperparameter SearchReproducible ExperimentsModel ValidationDataset VersioningClass ImbalanceOverfitting

Soft Skills

Clear CommunicationStrong Ownership

Tools & Technologies

NVIDIA JetsonQualcomm SnapdragonMetric DashboardsAutomated LabelingTraining Infrastructure

Industry Keywords

TrafficAutomotiveRoboticsSurveillanceVideo Analytics

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Develop and improve object-detection and multi-object-tracking models for vehicles, pedestrians, and other road users in challenging real-world conditions
Own data strategy for model quality, including sampling, labeling, dataset versioning, hard-negative mining, class imbalance, edge cases, and deployed-system feedback
Design rigorous experiments and ablations and distinguish genuine 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 product-relevant evaluation covering 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, and power constraints
Set technical direction, lead design reviews, mentor engineers, and raise standards for ML rigor, reproducibility, and production readiness

Requirements

What you’ll need

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 supporting reproducible experiments, distributed training, hyperparameter search, metric comparison, and model lineage
Strong Python and PyTorch skills
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
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
Must be legally authorized to work in the United States

Benefits

Comp & perks

Competitive compensation
Early-stage equity
Meaningful ownership in a fast-moving startup environment
Opportunity to work with a small, experienced team where senior engineers have real technical influence
Work that directly improves road safety and helps save lives