AI Engineer
Genius Sportsabout 3 hours ago
Base Salary
$170k - $200k/yr
Responsibilities
- Own applied AI work end-to-end, from data exploration to production integration.
- Develop models and algorithms that convert sports data into structured insights.
- Build models for event detection, likelihood estimation, and automation of play-by-play collection.
- Work with multimodal sports data, including video, audio, and structured feeds.
- Define metrics and benchmarks to measure AI system quality.
- Train and integrate ML models and AI components into production workflows.
- Design workflows that improve model evaluation and output quality.
- Collaborate with CV engineers on training pipelines and model deployment.
- Partner with various teams to integrate AI outputs into real-time products.
- Mentor junior teammates and contribute to team knowledge-sharing.
Requirements
- 3+ years of experience building production ML, CV, or AI systems.
- Ability to translate sports product goals into concrete ML tasks.
- Hands-on experience with dataset construction, model training, and deployment.
- Strong modeling judgment across deep learning and classical ML.
- Experience with predictive modeling and communicating results to stakeholders.
- Ability to evaluate AI system quality and handle real-world product tradeoffs.
- Strong production engineering fundamentals, including testing and reliability.
- Interest in LLMs and agentic AI systems.
- Comfortable in fast-moving, iterative environments.
Benefits
- Competitive salary range of $170,000 - $200,000 USD.
- Participation in Genius Sports Group's benefits plan.
- Hybrid working models to maximize collaboration.
- Commitment to employee wellbeing and career growth.
- Inclusive working environment fostering a sense of belonging.