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Senior Applied AI Engineer

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Genius Sports

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Location:
United States , New York

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

180000.00 - 240000.00 USD / Year
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Job Description:

Build production-grade, multimodal (audio/video/text) systems that convert broadcast and radio feeds into structured, real-time signals and event candidates. 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.

Job Responsibility:

  • 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

Requirements:

  • 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

Nice to have:

  • 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)
What we offer:
  • Eligible to take part in Genius Sports Group's benefits plan
  • Competitive salary and range of benefits
  • Committed to supporting employee wellbeing and helping you grow your skills, experience and career
  • Inclusive working environment

Additional Information:

Job Posted:
March 18, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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