Note: The job is a remote job and is open to candidates in USA. PlayOn Sports processes over 250,000 live high school sports games a year and is seeking a Senior Software Engineer for their Streaming Intelligence team. In this role, you will build interfaces connecting AI outputs to users, focusing on fan experiences and internal tools for real-time sports statistics.
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
- 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)
- 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
- 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
Skills
- 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
Benefits
- Multiple medical insurance plans to choose from
- Dental, vision life and disability insurance
- Employee Emergency Fund
- Open PTO policy
- 401K plan with company match
- Hybrid/flexible work environment
- Must be a full-time employee to participate in the company’s employee health benefit plan (Part-time employees and interns are not eligible to participate)
- Company equity (stock options)
Company Overview