Senior Applied AI Engineer

ppBy 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 . /p h3About the Role /h3 pWe 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. /p pWe 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. /p h3Key Responsibilities /h3 ul liBuild and maintain multimodal agents: ul liAudio sensor agents (acoustic events, sentiment, alignment) /li liVisual sensor agents (scorebug/overlay reading, basic visual cues when applicable) /li liSpecialist and decision logic components (structured event outputs, confidence, traceability) /li /ul /li liImplement streaming‑friendly pipelines: chunking, normalization, time‑sync, async execution, and robust retry/backoff for model/tool calls. /li liDevelop prompt‑as‑code with strict JSON contracts, schema validation, and deterministic post‑processing to reduce brittleness. /li liImprove system robustness under noisy inputs by: ul liDesigning fallback behaviors (degraded modes) /li liAdding guardrails and confidence thresholds /li liInstrumenting traces/metrics for latency + cost + accuracy /li /ul /li liPartner 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). /li liContribute to the evaluation workflow by adding test cases, failure mode categories, and regression checks for prompts and model routing. /li liStay up‑to‑date with emerging Gen AI technologies, tools, and best practices. /li liMentor and support other team members in data engineering principles and practices. /li /ul h3Qualifications /h3 ul li5–8+ years of professional software engineering experience (backend and/or ML systems). /li liStrong proficiency in one or more of: Python, Java, Rust. /li liHands‑on experience building production services involving LLM or multimodal model integration (including Gemini, ChatGPT or Claude). /li liComfortable with ambiguity, iterative experimentation, and evidence‑based decision‑making in an Agile environment. /li liExperience with streaming data platforms like Kafka, Pulsar, Flink /li liExperience with AWS Bedrock or Google Vertex AI /li liFamiliarity with version control systems (e.g., Git). /li liExcellent problem‑solving skills and attention to detail. /li liAbility to work independently and as part of a team. /li liStrong communication skills. /li /ul h3Preferred Qualifications /h3 ul liExperience with audio ML / speech / acoustic event detection, or media pipelines (audio/video chunking, sync). /li liExperience with RAG or rules/config grounding for sport‑specific logic (league configs, terminology, rulebooks). /li liFamiliarity with evaluation practices (golden sets, precision/recall, drift monitoring) and production observability. /li liExperience operating systems where cost/latency tradeoffs matter (routing “flash vs heavy” models, caching, batching). /li /ul pWe 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. /p pAs 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. /p pWe 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. /p pLet us know when you apply if you need any assistance during the recruiting process due to a disability. /p /p #J-18808-Ljbffr