Senior Applied AI Engineer

By bringing together next-gen technology and the finest live data available Genius Sports is enabling a new era of sports for fans worldwide delivering experiences that are more immersive interactive and personalized than ever before. Learn more at geniussports.com. 

About the Role  

We are looking for a Senior Applied AI Engineer to build production-grade multimodal (audio/video/text) systems that convert broadcast and radio feeds into structured real-time signals and event candidates. You will implement and evolve “agentic” components (sensor agents specialist agents decision logic) that power products like Audio Intelligence semi-automated broadcast-to-data tagging and highlight/momentum signals. 

We will lean on your technical expertise and your pragmatic approach to problem solving; working in a team that prioritizes the principles of Agile delivery and continuous improvement. You will have a Data-driven evidence-based mentality comfortable with the principles of continuous experimentation and validation.  

Key Responsibilities 

• Build and maintain multimodal agents:
• Audio sensor agents (acoustic events sentiment alignment)
• Visual sensor agents (scorebug/overlay reading basic visual cues when applicable)
• Specialist and decision logic components (structured event outputs confidence traceability) 
• Implement streaming-friendly pipelines: chunking normalization time-sync async execution and robust retry/backoff for model/tool calls. 
• Develop prompt-as-code with strict JSON contracts schema validation and deterministic post-processing to reduce brittleness.
• Improve system robustness under noisy inputs by:
• Designing fallback behaviors (degraded modes)
• Adding guardrails and confidence thresholds
• Instrumenting traces/metrics for latency + cost + accuracy
• Partner with product platform and domain leads to translate sport rules/edge cases into validation logic and to integrate outputs into downstream consumers (tagging live feeds analytics). 
• Contribute to the evaluation workflow by adding test cases failure mode categories and regression checks for prompts and model routing.
• Stay up-to-date with emerging Gen AI technologies tools and best practices.
• Mentor and support other team members in data engineering principles and practices.

  
Qualifications   

• 5–8+ years of professional software engineering experience (backend and/or ML systems).
• Strong proficiency in one or more of: Python Java Rust.
• Hands-on experience building production services involving LLM or multimodal model integration (including Gemini ChatGPT or Claude).
• Comfortable with ambiguity iterative experimentation and evidence-based decision-making in an Agile environment.
• Experience with streaming data platforms like Kafka Pulsar Flink
• Experience with AWS Bedrock or Google Vertex AI
• Familiarity with version control systems (e.g. Git).
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and as part of a team.
• Strong communication skills.

  
Preferred Qualifications   

• Experience with audio ML / speech / acoustic event detection or media pipelines (audio/video chunking sync).
• Experience with RAG or rules/config grounding for sport-specific logic (league configs terminology rulebooks).
• Familiarity with evaluation practices (golden sets precision/recall drift monitoring) and production observability.
• Experience operating systems where cost/latency tradeoffs matter (routing “flash vs heavy” models caching batching).

The salary for this role is based on an annualized range of $180000 - $230000 USD. This role will also be eligible to take part in Genius Sports Group's benefits plan.

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.

As well as a competitive salary and range of benefits we’re committed to supporting employee wellbeing and helping you grow your skills experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team being brave driving change 

We strive to create an inclusive working environment where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.

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

What We Do

Genius Sports is the layer between what happens on the field and how the world engages with it. Our solutions across the global sports ecosystem are underpinned by our next generation big data and artificial intelligence platform GeniusIQ. By ingesting and computing multiple real-time data feeds GeniusIQ powers a wide range of functions and applications across sports performance and officiation fan engagement advertising and sports betting. Founded in 2001 Genius Sports is now one of the world’s largest sports technology companies working with the likes of the NFL NBA EPL FIBA ESPN Sky Sports Flutter DraftKings and 100s more. We're headquartered in New York and London with offices in Los Angeles Medellin Tallinn Sofia Singapore Lausanne Manchester and Melbourne.

Why Work With Us

We are one team being brave driving change. Our company values help create a cohesive culture where we think feel and act like One Genius. We strive to create an environment where everyone feels a sense of belonging and the ability to make a difference driving our vision to be everywhere in sports redefining experiences through technology.

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