SumerSports
Computer Vision Engineer
Remote (United States) · Senior
Sponsorship not specifiedDetected 53 days ago
PythonMachine LearningPyTorchData EngineeringNLPComputer VisionMLOpsA/B TestingResearch
About the role
- SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs.
- What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience.
- Improve data efficiency: augmentations, sampling strategies, handling label noise, weak/self-supervision where helpful.
Responsibilities
- You'll spend most of your time on CV research + applied modeling (experiments, architectures, training, evaluation), and partner with data/platform teammates to ensure your work can ship reliably.
- Level (mid vs senior) depends on scope ownership and how independently you can drive results.
Requirements
- Strong applied CV experience with hands-on model development (not just running existing repos).
Nice to have
- Sports video CV or adjacent domains (multi-agent tracking, pose, crowded scenes).
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 MLOps/production experience: model packaging, CI for training/eval, serving (Triton/TorchServe), monitoring.
Compensation
- Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints.
Benefits
- Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football.
- We're hiring a hands-on Computer Vision Engineer to build and improve sports video intelligence models-detection, tracking, pose, event understanding, and multi-view reasoning.
Company info
- We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.
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This listing is sourced directly from SumerSports's careers page and normalized into a canonical job model.