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- Tasks: Integrate cutting-edge AI hardware with top open-source projects and develop high-performance runtimes.
- Company: Fractile, a revolutionary tech company pushing the boundaries of AI computing.
- Benefits: Flexible work locations in London or Bristol, competitive salary, and growth opportunities.
- Why this job: Join a fast-paced team and make a real impact on the future of AI technology.
- Qualifications: 5+ years in ML software, strong Python and Rust skills, and a creative mindset.
- Other info: Collaborative environment with exciting challenges and career advancement potential.
The predicted salary is between 54000 - 84000 £ per year.
At Fractile, we’re taking a revolutionary approach to computing to run the world’s largest language models 100x faster than existing systems. Our fast-growing team is working at the cutting edge of the latest AI developments in both hardware and software. Want to get involved? We are looking for Senior ML Runtime Engineers with experience of key ML software ecosystem components to work on inference server integrations and the runtime stack of our ground-breaking AI accelerators. You can be based in either our London office or Bristol, the choice is yours.
In this role, you will:
- Integrate Fractile's innovative AI acceleration hardware with leading open source projects like PyTorch, vLLM, and SGLang
- Develop our underlying high-performance Rust runtime
- Work with hardware, lower-level software, and ML engineers in a highly collaborative hardware-software co-design methodology
It would be great if you have:
- Proven experience of working with major ML software ecosystem projects
- A good understanding of the latest ML workloads and inference deployment challenges
- Excellent Python and Rust skills and solid experience of industry standard development tools and technologies
- A creative and innovative mindset, and a willingness to take ownership and drive results in a fast-paced environment
- Computer Science, Electronic Engineering, Maths, Physics, or related degree and 5+ years of industry experience
You may also have:
- Experience of working with GPUs or other machine learning accelerators
- Previous experience in a startup or small team environment
Interested in building your career at Fractile? Get future opportunities sent straight to your email.
Senior ML Runtime Engineer in London employer: Fractile
Contact Detail:
Fractile Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Runtime Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Fractile on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! If you’ve worked on relevant projects, create a portfolio or GitHub repo showcasing your work with ML software and Rust. This will make you stand out during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and Rust skills. Practice coding challenges and be ready to discuss your past experiences with ML workloads and inference deployment.
✨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, it shows you’re genuinely interested in joining the Fractile team.
We think you need these skills to ace Senior ML Runtime Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior ML Runtime Engineer role. Highlight your experience with ML software ecosystem components and any relevant projects you've worked on. We want to see how your skills align with what we're doing at Fractile!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about working with us at Fractile and how your background in Python and Rust can contribute to our innovative AI acceleration hardware. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any interesting ML projects, make sure to mention them! Whether it's integrating open source projects or developing high-performance runtimes, we love seeing real-world applications of your skills. Share links or descriptions that demonstrate your expertise.
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, you’ll get updates on future opportunities straight to your email!
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 how you've used these languages in past projects, especially in relation to ML software ecosystem components. This will show that you’re not just familiar with the tech but can also apply it effectively.
✨Showcase Your Collaborative Spirit
Fractile values teamwork, so be prepared to share examples of how you've worked collaboratively in previous roles. Highlight any experiences where you’ve integrated hardware and software, as this aligns perfectly with their co-design methodology.
✨Understand the Latest ML Trends
Stay updated on the latest developments in machine learning workloads and inference deployment challenges. Being able to discuss current trends and how they relate to Fractile's work will demonstrate your passion and commitment to the field.
✨Be Ready for Problem-Solving Questions
Expect some technical problem-solving questions during the interview. Practice explaining your thought process clearly and concisely, especially when it comes to integrating AI acceleration hardware with open-source projects like PyTorch or vLLM. This will showcase your analytical skills and innovative mindset.
