AI Engineer

About the role

We’re looking for a Senior Software Engineer on our Sports AI team to help build the next generation of real-time AI systems powering sports analysis and insights. These systems transform live sports broadcasts (incorporating signals from video, crowd noise, audio commentary, and text) into a structured understanding of game context and auto-generated insights.

Responsibilities

• Design, build, and operate real-time streaming systems that convert live sports broadcasts into structured events, attributes, and insights
• Ingest and synchronize signals from video, audio, commentary, and data feeds under real-world latency and reliability constraints
• Integrate modern AI models into production systems, including multi-step pipelines where model outputs are composed, validated, and refined
• Design and implement evaluation and observability frameworks to measure system quality, including offline benchmarks, real-time metrics, and regression testing
• Develop mechanisms for identifying and handling uncertainty in model outputs, such as confidence scoring, validation checks, and human-in-the-loop workflows where appropriate
• Own systems end-to-end from early prototypes through production, making key architectural decisions around scalability, reliability, and performance
• Collaborate closely with product and data partners to shape, prioritize, and ship high-impact systems
• Mentor engineers and help establish best practices for building and operating applied AI systems in production

Qualifications

• 5+ years of experience building production-grade software systems
• Strong software engineering fundamentals including system design, testing, observability, and performance
• Experience building streaming, data-intensive, and/or distributed systems with real-time constraints
• Proven ability to design scalable systems that are robust under real-world conditions, including handling partial failures, inconsistent data, and latency tradeoffs
• Ability to evaluate system quality beyond traditional metrics (e.g., ambiguous or probabilistic outputs)
• Product-minded: able to translate ambiguous problems into practical, high-impact solutions
• Strong, demonstrated interest in building AI-powered features or systems; keep up with latest generative AI progress and capabilities
• Comfortable working in fast-moving, iterative environments with evolving requirements

Preferred Qualifications

• Hands-on experience integrating LLMs and other ML/AI systems in production workflows via platforms like Vertex AI or AWS Bedrock
• Experience building or maintaining human-in-the-loop workflows
• Familiarity with streaming systems and tooling (e.g., Pulsar, Kafka, Flink, etc.)
• Experience working with audio/video streaming and processing systems, including familiarity with media delivery protocols (e.g., HLS, DASH, RTP), container formats, codecs, and tooling such as FFmpeg or GStreamer
• Background or strong interest in sports
• Experience with Rust

Pay

The salary for this role is based on an annualized range of $160,000 - $230,000 USD.

Schedule

This role will also be eligible to take part in Genius Sports Group's benefits plan.

Benefits

We enjoy an 'office-first' culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.

Company Culture

Let us know when you apply if you need any assistance during the recruiting process due to a disability.