Note: The job is a remote job and is open to candidates in USA. PlayerProps.ai is an AI-powered sports betting research and analytics platform built for the everyday bettor. The Senior ML/AI Engineer will design and implement predictive models, integrate data sources, and enhance existing AI systems to improve the platform's analytical capabilities.
Responsibilities
- Design, build, and ship new predictive and analytical models from raw data to production
- Evaluate, integrate, and maintain new third-party data sources, and build the pipelines that make them production reliable
- Own and advance our LLM-powered analyst: prompt architecture, retrieval, tool use, and response quality across every sport we cover
- Expand our evaluation infrastructure so every model and prompt change is measured, not guessed
- Improve the analytics engines behind our matchup grading, trends, and sharp money products
- Work with frontier model APIs and decide when new models and techniques are worth adopting
- Set the quality bar for AI and modeling work as the team grows around you
Skills
- 5+ years of software engineering experience, with 3+ years building production ML systems, statistical models, or LLM-powered products
- Real modeling depth: you have built predictive or statistical models from raw data to production, not just consumed model APIs
- Strong data engineering fundamentals: you can source, clean, and pipeline messy third-party data from providers of varying quality
- Hands-on LLM application experience: prompt engineering, retrieval, structured outputs, tool use, and evaluation frameworks
- Production mindset: you own reliability, latency, and cost, not just accuracy
- Comfortable across the stack: our environment includes TypeScript and Python, and you can move between them
- Thoughtful about responsibility: you want to build systems that make bettors smarter and healthier, and you understand why that framing matters
- Startup ready: you thrive with ambiguity, ship fast, and communicate clearly in a small remote team
- Broad sports fluency strongly preferred, and depth beyond the major US leagues is a real differentiator
- Bonus: experience with sports data providers, prediction markets, or behavioral analytics on user activity data
Benefits
- Fully remote role with a distributed-first culture
- Early-stage equity
- Direct collaboration with the founder and technical lead, no layers
- Greenfield ownership of model categories that do not exist yet at PlayerProps.ai until you build them
Company Overview