Senior Software Engineer

PlayOn Sports processes over 250,000 live high school sports games a year using AI and computer vision. As a Senior Engineer on the Streaming Intelligence team, you will build interfaces that connect AI outputs to users, focusing on enhancing fan experiences and internal operations.

Responsibilities:

• Ship the first human-in-the-loop interface for the computer vision stats pipeline, enabling internal operators to review, correct, and approve AI-generated statistics in real time. Target: production-ready within six months
• Deliver at least one AI-powered fan experience — real-time stat overlays, interactive highlights, or personalized content — to one of our consumer brands (NFHS Network, GoFan, or MaxPreps). Target: live within nine months
• Establish the team’s standard UI component library and Python service templates for AI-forward development, enabling faster iteration on future human-in-the-loop and fan-in-the-loop features
• Build feedback loops that capture human corrections and fan interactions and route them back into the AI pipeline, measurably improving model accuracy over time
• Deliver interactive AI features that work reliably across NFHS Network, GoFan, and MaxPreps, adapting to each brand’s UX patterns while sharing a common service layer
• Build and ship human-in-the-loop interfaces that enable internal operators to review, correct, and approve AI-generated sports statistics in real time across thousands of concurrent live streams
• Design and develop fan-in-the-loop experiences — interactive highlights, live stat overlays, and engagement features — across NFHS Network, GoFan, and MaxPreps
• Own features end-to-end: from data modeling and API design through frontend implementation and production deployment. You’ll ship, not just spec
• Integrate AI/ML model outputs (computer vision, LLMs) into production applications, building the service layer between models and users
• Develop reusable Python service templates and UI component patterns that establish the team’s standard for AI-forward development
• Collaborate with computer vision engineers, product managers, and data teams to translate pipeline outputs into intuitive, performant user experiences
• Contribute to system design and architecture decisions within the streaming intelligence program. Participate in code reviews, design reviews, and technical documentation
• Help evaluate and integrate third-party tools and vendor APIs (annotation platforms, model serving infrastructure) as the platform scales

Requirements:

• 3+ years of professional software engineering experience with strong Python skills and a track record of building production web applications and APIs
• Builder mentality — you've shipped end-to-end features from concept to production, not just maintained existing systems
• Experience integrating AI/ML models into user-facing applications (LLM APIs, computer vision pipelines, or similar)
• Solid fundamentals in API design, data modeling, and service architecture
• Familiarity with cloud infrastructure (AWS EKS, S3) and modern data tooling (Snowflake, Kafka, or similar)
• Strong communicator who works well across disciplines
• frontend experience with React/TypeScript (especially interactive annotation or dashboard UIs)
• familiarity with sports data or video analytics
• experience with annotation tooling (Roboflow, CVAT, Label Studio)
• interest in developer experience and internal tooling