PlayAction AI
AI

Computer Vision Engineer

PlayAction AI ·

Actively hiring Posted 7 months ago

Company Description

PlayAction AI is an advanced football analytics platform transforming how teams prepare and compete with AI-driven technology. By leveraging real game data and powerful simulation tools, PlayAction AI helps coaches train smarter, analyze opponents, and enhance decision-making. Serving college, professional, and high school programs, the platform includes cutting-edge tools like game simulators, visual scouting reports, and a unified workspace for strategic planning. With a focus on modernizing football strategy, PlayAction AI is revolutionizing traditional preparation for the game. Our mission is to empower teams through data-driven, interactive solutions.

Role Description

This is a full-time remote role for a Computer Vision Engineer. The role involves developing and optimizing computer vision algorithms to empower PlayAction AI’s football analytics solutions. Day-to-day tasks include implementing pattern recognition systems, collaborating with the data science team to refine AI models, and integrating cutting-edge computer vision technologies into the platform. Additional responsibilities include ensuring software accuracy and efficiency while continuously researching advancements in computer vision and related fields.

Qualifications

  • Strong expertise in Computer Vision and Pattern Recognition
  • Knowledge in Data Science, and their applications in AI-powered solutions
  • Solid foundation in Computer Science and problem-solving techniques
  • Experience with algorithm development, optimization, and deployment
  • Proficiency in programming languages like Python, Typescript
  • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus
  • Bachelor’s or Master’s degree in a relevant technical field
  • Ability to work independently while collaborating effectively within a remote team
  • Previous experience in sports analytics or simulation systems is advantageous but not required

Tags & focus areas

Used for matching and alerts on DevFound
Ai Deep Learning Data Science Computer Vision Pytorch Tensorflow Fulltime
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.