Computer Vision Engineer
SumerSports | Built In
San Francisco, CARemote OKFull-time
About this role
Computer Vision Engineer - SumerSports | Built In
Computer Vision Engineer
SumerSports
Computer Vision Engineer
Reposted 14 Days Ago
Hiring Remotely in United States
Remote
Mid level
Artificial Intelligence • Big Data • Sports
AI insights + over 600 years of NFL expertise.
The Role
The Computer Vision Engineer will develop and improve sports video models, conduct experiments, and collaborate with data teams to productionize models, focusing on player detection and tracking.
Summary Generated by Built In
SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.
Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints. The platform also serves the NCAA, offering insights around the transfer portal and more.
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. 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. 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.
This role is CV-first. A bend toward scalable pipelines / MLOps is a plus, not a requirement. Level (mid vs senior) depends on scope ownership and how independently you can drive results.
Responsibilities
CV Modeling & Experimentation
- Build and train CV models for sports video: player/