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- Tasks: Develop and deploy AI/ML models to optimise race performance and strategy.
- Company: Join a dynamic motorsports team at 23XI Racing, where innovation meets speed.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Other info: Fast-paced environment with exciting challenges and career advancement opportunities.
- Why this job: Combine your passion for AI and motorsports to make a real impact on racing.
- Qualifications: 5+ years in data roles, strong Python skills, and a love for competition.
The predicted salary is between 60000 - 80000 £ per year.
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 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.
Required Skills, Experience and Abilities
- 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.
- Experience with AWS cloud services strongly desired.
- Experience with vehicle dynamics, motorsports engineering, or performance simulation is preferred.
- 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.
- Familiarity with NASCAR’s technical and competitive landscape is a strong plus.
ML & AI Engineer in Huntersville employer: 23XI Racing
Contact Detail:
23XI Racing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML & AI Engineer in Huntersville
✨Tip Number 1
Network like a pro! Reach out to folks in the motorsports and AI community on LinkedIn or at events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML/AI projects, especially those related to motorsports. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've used data to drive decisions in past projects, especially in high-pressure situations.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace ML & AI Engineer in Huntersville
Some tips for your application 🫡
Show Your Passion for Motorsports: When you're writing your application, let your love for motorsports shine through! We want to see how your enthusiasm for racing and technology can drive our team forward. Share any relevant experiences or projects that highlight this passion.
Highlight Your Technical Skills: Make sure to showcase your expertise in ML/AI algorithms and coding skills. We’re looking for someone who can hit the ground running, so mention specific tools and technologies you’ve worked with, like Python, TensorFlow, or AWS. The more relevant details, the better!
Be Clear and Concise: We appreciate straightforward communication, especially when it comes to complex data insights. Use clear language and avoid jargon where possible. Remember, we want to understand your thought process and how you can contribute to our team without getting lost in technical terms.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at 23XI Racing
✨Know Your Tech Inside Out
Make sure you’re well-versed in the ML/AI algorithms mentioned in the job description. Brush up on neural networks, reinforcement learning, and predictive modelling. Be ready to discuss how you've applied these techniques in real-world scenarios, especially in high-pressure environments like motorsports.
✨Showcase Your Coding Skills
Since strong coding skills in Python are a must, prepare to demonstrate your proficiency. You might be asked to solve a coding challenge or explain your previous projects. Have examples ready that highlight your experience with libraries like NumPy, Pandas, and TensorFlow.
✨Understand the Racing Context
Familiarise yourself with NASCAR’s technical landscape and the specific challenges faced in motorsports. Being able to relate your data science expertise to real-time race strategies will set you apart. Think about how you can leverage data to optimise performance and decision-making during races.
✨Communicate Clearly
You’ll need to convey complex data insights to non-technical team members. Practice explaining your past projects in simple terms, focusing on the impact of your work. This will show that you can bridge the gap between technical and non-technical audiences effectively.