Position Overview
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.
Essential Duties and Responsibilitie
- sDevelop, 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 logi
- cCommunicate complex data-driven insights in clear, actionable terms to crew chiefs, engineers, and competition leadershi
- pResearch 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 leadershi
- pRepresent 23XI Racing in a professional manner at all time
- sOther duties as assigned by Manage
r
Required Skills, Experience and Abiliti
esTo perform the job successfully, the following competencies should be demonstrate
- d:5+ years of experience in a Data Engineer, Data Scientist, or related ro
- leBachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Electrical/Mechanical Engineering, or related fie
- ldProven experience with ML/AI algorithms (neural networks, reinforcement learning, predictive modeling, Bayesian methods) requir
- edStrong coding skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and familiarity with MATLAB or
- RExperience handling large datasets, time-series data, or real-time streaming inputs; proficiency with SQL/NoSQL databas
- esExperience with AWS cloud services strongly desir
- edExperience with vehicle dynamics, motorsports engineering, or performance simulation is preferr
- edAbility to work under the high-pressure environment of competition weekends with strong communication skills to non-technical audienc
- esMust demonstrate personal motivation and enthusiasm; ability to work as an individual and as part of a te
- amMust possess problem solving abilities for complex problem resolution, identifying, and resolving issues effective
- lyFamiliarity with NASCAR’s technical and competitive landscape is a strong pl
us
