ML & AI Engineer
About The Position
The Machine Learning (ML) / Artificial Intelligence (AI) Engineer is responsible for leveraging advanced analytics, AI models, and machine learning techniques to optimize car performance, race strategy, and team decision-making. The ideal candidate will combine expertise in data science with a passion for motorsports, helping transform live telemetry, simulation outputs, and historical race data into actionable insights that give our team a competitive edge. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Requirements
- 5+ years of experience in a Data Engineer, Data Scientist, or related role
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Electrical/Mechanical Engineering, or related field
- Proven experience with ML/AI algorithms (neural networks, reinforcement learning, predictive modeling, Bayesian methods) required
- Strong coding skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and familiarity with MATLAB or R
- Experience handling large datasets, time-series data, or real-time streaming inputs; proficiency with SQL/NoSQL databases
- Ability to work under the high-pressure environment of competition weekends with strong communication skills to non-technical audiences
- Must demonstrate personal motivation and enthusiasm; ability to work as an individual and as part of a team
- Must possess problem solving abilities for complex problem resolution, identifying, and resolving issues effectively
Nice To Haves
- Experience with AWS cloud services strongly desired
- Experience with vehicle dynamics, motorsports engineering, or performance simulation is preferred
- Familiarity with NASCAR’s technical and competitive landscape is a strong plus
Responsibilities
- Develop, train, and deploy AI/ML models for predicting race outcomes, pit strategy, and competitor behavior.
- Analyze streaming telemetry data from car sensors and in-race events to identify real-time performance optimization opportunities.
- Work with race engineers to integrate ML-driven predictions into simulations for aerodynamics, tire degradation, fuel strategy, and vehicle setup.
- Build race-specific competitor models, including driver performance trends, pit crew efficiency, and team strategy profiles.
- Collaborate with simulation engineers to enhance lap time modeling and optimize vehicle setup through machine learning techniques.
- Ensure ML solutions operate in time-sensitive, low-latency environments suitable for live race deployment, with confidence thresholds and fallback logic
- Communicate complex data-driven insights in clear, actionable terms to crew chiefs, engineers, and competition leadership
- Research and prototype new data/ML approaches to expand competitive advantage across simulation, car setup optimization, and race execution.
- Aid other team members as requested by leadership
- Represent 23XI Racing in a professional manner at all times
- Other duties as assigned by Manager
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
