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- Tasks: Lead a team to develop innovative ML models using racing telemetry data.
- Company: Exciting motorsport AI startup with a focus on innovation.
- Benefits: Flexible working arrangements and the chance to make a real impact.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join a dynamic team and revolutionise AI coaching for motorsport enthusiasts.
- Qualifications: 5+ years of hands-on ML experience, especially in sequence modeling.
The predicted salary is between 42000 - 84000 £ per year.
A leading motorsport AI startup is seeking an experienced ML Engineer to build their ML capabilities. This role involves leading a small team to develop innovative models using racing telemetry data. Candidates should have over 5 years of hands-on ML experience, especially in areas like sequence modeling and representation learning. Join a dynamic environment where you can significantly impact AI coaching solutions for motorsport enthusiasts, while working alongside a knowledgeable team and flexible working arrangements.
Lead ML Engineer — Racing Coaching AI Platform employer: Track Titan
Contact Detail:
Track Titan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Engineer — Racing Coaching AI Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the motorsport and AI communities. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to sequence modeling or racing telemetry data. 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 soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies in a dynamic environment.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience in ML and how it aligns with our mission in motorsport coaching.
We think you need these skills to ace Lead ML Engineer — Racing Coaching AI Platform
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your hands-on ML experience, especially in sequence modeling and representation learning. We want to see how your skills can contribute to our innovative models!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Lead ML Engineer role. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and passion for motorsport AI.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Track Titan
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially sequence modelling and representation learning. Be ready to discuss your past projects in detail, as they’ll want to see how your experience aligns with their needs.
✨Showcase Team Leadership
Since this role involves leading a small team, be prepared to share examples of how you've successfully managed projects and guided team members. Highlight your leadership style and how you foster collaboration in a dynamic environment.
✨Understand Racing Telemetry Data
Familiarise yourself with racing telemetry data and its applications in AI coaching solutions. Being able to speak knowledgeably about how this data can enhance performance will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s vision for their AI platform and how they see the role evolving. This shows your genuine interest in the position and helps you gauge if it’s the right fit for you.