🛠 Tech Stack

💼 About This Role

You'll build human-in-the-loop interfaces for a computer vision pipeline processing over 250,000 live high school sports games annually. You'll ship annotation review tools and fan-facing AI features across NFHS Network, GoFan, and MaxPreps. This role offers the chance to own AI-forward development patterns and deliver production features within months.

🎯 What You'll Do

• Build human-in-the-loop interfaces for real-time AI review.
• Develop fan-facing AI experiences across three consumer brands.
• Own features end-to-end from data modeling to deployment.
• Integrate AI/ML model outputs into production applications.

📋 Requirements

• 3+ years of software engineering with Python.
• Track record of shipping end-to-end features.
• Experience integrating AI/ML models into user-facing apps.
• Solid fundamentals in API design and service architecture.

✨ Nice to Have

• Frontend experience with React/TypeScript.
• Familiarity with sports data or video analytics.
• Experience with annotation tooling (Roboflow, CVAT, Label Studio).

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏥 Health insurance
• 💻 Remote work
• 📈 Equity
• 📚 Learning stipend

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Screen· 45 min
3. 3Onsite (virtual)· 2 hours