Computer Vision Engineer

SumerSports

Computer Vision Engineer developing and improving sports video intelligence models for football technology company SumerSports. Responsibilities include CV modeling, experimentation, and collaboration within the data platform team.

Posted 5/31/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

FFmpegPythonPyTorch

About the role

Key responsibilities & impact

Build and train CV models for sports video: player/ball detection, multi-object tracking, pose/keypoints, event/action recognition, identity association (re-ID).
Own the experimentation loop: hypotheses → ablations → error analysis → measurable improvements.
Design and maintain evaluation: task-appropriate metrics (e.g., MOT metrics, keypoint accuracy, event precision/recall), dataset slices, and failure taxonomy.
Improve data efficiency: augmentations, sampling strategies, handling label noise, weak/self-supervision where helpful.
Prototype and iterate on modern architectures (e.g., transformer-based detection/tracking, temporal models, multi-task setups).
Collaborate on dataset + labeling design: formats, schemas, tooling, versioning.
Help productionize models: packaging, batch/stream inference patterns, throughput/latency tradeoffs, robustness checks.
Add lightweight quality gates: reproducibility, automated eval, regression detection.

Requirements

What you’ll need

Strong applied CV experience with hands-on model development (not just running existing repos).
Solid PyTorch skills: training loops, debugging, data pipelines for vision workloads, DDP basics.
Comfort with video CV fundamentals: occlusion, identity switches, temporal consistency, calibration, domain shift.
Strong Python engineering and a bias toward measurable outcomes.
Nice-to-have (Bonus): Sports video CV or adjacent domains (multi-agent tracking, pose, crowded scenes).
Experience with video tooling (FFmpeg), efficient dataset formats (WebDataset/shards), or streaming/batching to GPUs.
MLOps/production experience: model packaging, CI for training/eval, serving (Triton/TorchServe), monitoring.

Benefits

Comp & perks

Comprehensive health insurance plan
Retirement savings plan (401k) with company match
Generous paid holiday schedule - 13 in total including Monday after the Super Bowl
Remote working environment

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

computer visionmodel developmentPyTorchtraining loopsdata pipelinesvideo CV fundamentalsPython engineeringMLOpsmodel packagingevent/action recognition

Soft Skills

collaborationproblem-solvinganalytical thinkingattention to detailmeasurable outcomes