At a Glance
- Tasks: Integrate AI acceleration hardware and develop a high-performance Rust runtime.
- Company: Cutting-edge AI company at the forefront of technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting environment with potential for significant career advancement.
- Why this job: Join a fast-paced team shaping the future of AI with innovative projects.
- Qualifications: 5+ years in ML software, strong Python and Rust skills, degree in Computer Science.
The predicted salary is between 48000 - 72000 £ per year.
A cutting-edge AI company is seeking a Senior ML Runtime Engineer in London or Bristol. In this role, you will integrate innovative AI acceleration hardware with leading projects like PyTorch and vLLM, and develop a high-performance Rust runtime.
The ideal candidate will have:
- 5+ years of experience in ML software
- Excellent Python and Rust skills
- A degree in Computer Science or related fields
Join a fast-paced environment driving the future of AI.
Senior ML Runtime Engineer: Rust Inference & AI Accelerators employer: Fractile
Join a pioneering AI company that champions innovation and collaboration in the heart of London or Bristol. With a vibrant work culture that fosters creativity and continuous learning, employees benefit from competitive salaries, flexible working arrangements, and opportunities for professional growth. Be part of a team that is not only shaping the future of AI but also values your contributions and supports your career aspirations.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Runtime Engineer: Rust Inference & AI Accelerators
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community, especially those working with Rust and PyTorch. Attend meetups or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in ML and Rust. This is your chance to demonstrate your expertise and passion for the field, making you stand out to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and Rust knowledge. Practice coding challenges and system design questions related to ML runtimes to ensure you're ready to impress.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our cutting-edge team. Your application will get the attention it deserves!
We think you need these skills to ace Senior ML Runtime Engineer: Rust Inference & AI Accelerators
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python and Rust in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your projects or any relevant work you've done!
Tailor Your CV:Customise your CV to reflect the job description. We’re looking for someone with a strong background in ML software, so make sure to emphasise your 5+ years of experience and any specific projects that relate to AI acceleration.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for AI and how you can contribute to our innovative projects. Keep it engaging and personal!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Fractile
✨Know Your Tech Inside Out
Make sure you brush up on your Python and Rust skills before the interview. Be ready to discuss your past projects and how you've integrated AI acceleration hardware. They’ll want to see that you can not only talk the talk but also walk the walk!
✨Showcase Your Problem-Solving Skills
Prepare for technical questions that test your problem-solving abilities. Think of examples where you’ve tackled complex issues in ML software. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Familiarise Yourself with Their Projects
Research the company’s current projects like PyTorch and vLLM. Understanding their work will help you ask insightful questions and demonstrate your genuine interest in contributing to their innovative efforts.
✨Cultural Fit Matters
This is a fast-paced environment, so be prepared to discuss how you thrive under pressure and adapt to change. Share experiences that highlight your teamwork and collaboration skills, as they’re looking for someone who can mesh well with their dynamic team.
