Sports Computer Vision Engineer

Job not on LinkedIn

🔥 20 minutes ago

🇺🇸 United States – Remote

💵 $165k - $200k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👁️ Computer Vision Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

SumerSports

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

⚽ Sports

🤖 Artificial Intelligence

☁️ SaaS

Sports • Artificial Intelligence • SaaS

SumerSports is an AI-powered sports analytics and technology company focused on football (NFL and NCAA). Combining over 500 years of NFL experience with machine learning, SumerSports offers products such as SūmerBrain for film retrieval and multi-layered data, SūmerLive for game tracking, SūmerNFL and SūmerNCAA for roster building and team optimization, and a player-verified metrics and talent exposure platform. The company produces draft guides, analytics-driven content with former scouts and Hall of Famers, and tools that serve players, teams, and fans to improve scouting, roster decisions, and performance evaluation.

📋 Description

• Build and train computer vision models for sports video, including player/ball detection, multi-object tracking, pose/keypoints, event/action recognition, and identity association (re-ID) • Own the experimentation loop from hypotheses through ablations and error analysis to measurable improvements • Design and maintain task-appropriate evaluation metrics, dataset slices, and failure taxonomies • Improve data efficiency through augmentations, sampling strategies, label-noise handling, and weak/self-supervision where helpful • Prototype and iterate on transformer-based detection/tracking, temporal models, and multi-task architectures • Collaborate on dataset and labeling design, including formats, schemas, tooling, and versioning • Help productionize models through packaging, batch/stream inference patterns, throughput/latency tradeoffs, and robustness checks • Add quality gates for reproducibility, automated evaluation, and regression detection • Partner with data/platform teammates to ensure models ship reliably

🎯 Requirements

• 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: 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

• Competitive Salary and Bonus Plan • Comprehensive health insurance plan • Retirement savings plan (401k) with company match • Remote working environment • A flexible, unlimited time off policy • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl • Annual performance bonus • Benefits and/or other applicable incentive compensation plans