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- Tasks: Develop a machine learning compiler stack for innovative AI accelerators.
- Company: Cutting-edge AI technology firm in the UK with a focus on innovation.
- Benefits: Flexible work locations in Bristol or London and exciting tech development opportunities.
- Why this job: Join the forefront of AI technology and make a real impact in the industry.
- Qualifications: Significant experience in machine learning compilation and strong C/C++ skills.
- Other info: Exciting role with opportunities for professional growth in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
A cutting-edge AI technology firm in the United Kingdom is seeking a Senior ML Compiler Engineer to develop a machine learning compiler stack for innovative AI accelerators.
Candidates should have significant experience in machine learning compilation and strong skills in C/C++.
You can be based in either the Bristol office or London, providing flexibility.
This role offers an exciting opportunity to be at the forefront of AI technology development.
Senior ML Compiler Engineer for AI Accelerators in London employer: Fractile
Contact Detail:
Fractile Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Compiler Engineer for AI Accelerators in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning community, especially those who work with compilers. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn – you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source ML compilers, make sure to highlight them. We love seeing practical examples of your work, so don’t hold back – share your GitHub or any relevant links during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C/C++ skills and understanding machine learning compilation concepts. Practice coding challenges and system design questions that are relevant to AI accelerators. We want to see how you think and solve problems!
✨Tip Number 4
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 our cutting-edge team. Don’t miss out on this exciting opportunity to shape the future of AI technology!
We think you need these skills to ace Senior ML Compiler Engineer for AI Accelerators in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning compilation and your skills in C/C++. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Senior ML Compiler Engineer position and how you can contribute to our innovative AI technology. Let your personality come through!
Showcase Your Passion for AI: We love candidates who are passionate about AI technology. In your application, mention any personal projects, research, or experiences that demonstrate your enthusiasm for the field. It’ll help us see your commitment!
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure you’re considered for this exciting opportunity!
How to prepare for a job interview at Fractile
✨Know Your ML Compilers
Make sure you brush up on the latest trends and technologies in machine learning compilation. Be ready to discuss your previous experiences with compiler stacks and how they relate to AI accelerators. This shows your passion and expertise in the field.
✨C/C++ Proficiency is Key
Since strong skills in C/C++ are a must, prepare to demonstrate your coding abilities. You might be asked to solve problems or even write code during the interview. Practising common algorithms and data structures in these languages can give you an edge.
✨Showcase Your Problem-Solving Skills
Expect technical questions that assess your problem-solving capabilities. Think through your approach to challenges you've faced in past projects, especially those related to AI technology. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's projects, team dynamics, and future directions in AI technology. This not only shows your interest but also helps you gauge if the company is the right fit for you.
