Computer Vision Engineer

Help Define the Future of Sports Sponsorship Technology

Computer Vision Engineer (Player-Coach)

SportsBiz is disrupting the $100B sports sponsorship ecosystem. Through DeepSport Solutions, our proprietary AI-powered analytics platform, we transform chaotic sports broadcasts into structured, actionable intelligence. We uncover hidden inefficiencies in sponsorship investments, empowering global brands to make data-driven decisions—instantly.

Are you ready to build the engine that powers the next era of sports marketing?

The Opportunity

We are looking for a Computer Vision Engineer who is a "doer" at heart. This is a high-ownership, high-impact role within our Data Science division. You will not just manage; you will design, implement, and deploy production-grade models that operate in the high-variance, high-stakes world of live sports.

The Tech Stack

Computer vision is our heartbeat. You will own the detection, tracking, and analysis of branded assets across global broadcasts.

• Core Platform: Advanced proficiency in Databricks (PySpark, Delta Lake, MLflow).
• Frameworks: PyTorch, OpenCV, NumPy, Pandas, Scikit-learn.
• Infrastructure: AWS (EC2, S3, CLI) and Linux-based production environments.

Your Mission: From Experiment to Production

This is an execution-focused role for a leader who has moved beyond academic experimentation and wants to see their models live in a global SaaS product.

Applied ML & Vision Pipeline

• Architect & Deploy: Design models for object detection and tracking that survive real-world broadcast artifacts (lighting changes, camera motion, occlusions).
• End-to-End Ownership: From raw data preparation and feature generation to deployment and performance monitoring.
• Continuous Innovation: Evolve models for OCR, text extraction, and adjacent NLP/Speech-to-text pipelines.

Platform Excellence (Databricks)

• Build and maintain scalable datasets across Bronze, Silver, and Gold layers in Delta Lake.
• Ensure all pipelines are reproducible, efficient, and production-ready in a shared cloud environment.

The Roadmap: Growth & Compensation

SportsBiz is in a high-velocity growth phase. We have successfully raised $2M in our seed round and are currently closing a $5M Series A.

• The Current Phase: As we close our current round, all team members are compensated through Equity + Performance-based Stipends.
• The Horizon (Anticipated Q1/Q2): Upon round closure, this role transitions to a Full Salary + Expanded Equity + Comprehensive Benefits.

What We’re Looking For

• The Experience: 3+ years of hands-on experience in applied Computer Vision (Object Detection/Tracking is a must).
• The Skills: Strong Python (OOP), experience with large-scale datasets, and exposure to OCR/NLP systems.
• The Mindset: You thrive in scrappy, fast-moving environments and value the autonomy of an individual contributor with the influence of an engineering lead.

Job Type: Full-time

Pay: $80,000.00 - $125,000.00 per year

Benefits:

• Health insurance

Experience:

• Computer Vision: 5 years (Required)

Work Location: Remote