At a Glance
- 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 significant impact.
- 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 43200 - 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 England 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 England
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio of projects that highlight your experience with machine learning compilation and C/C++. This will give you an edge when chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of compiler design. Practice common ML-related problems to impress during those crucial interview moments.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a better shot at landing that dream role.
We think you need these skills to ace Senior ML Compiler Engineer for AI Accelerators in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning compilation and your C/C++ skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
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. Keep it engaging and personal.
Showcase Your Passion for AI: We love candidates who are passionate about AI! In your application, mention any personal projects or research related to AI accelerators or machine learning that you've been involved in. It shows us you’re genuinely interested in the field.
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 Stuff
Make sure you brush up on your machine learning compilation knowledge. Be ready to discuss specific projects you've worked on, especially those involving C/C++. This will show that you have the hands-on experience they’re looking for.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would approach common issues in ML compiler development. Practising coding problems related to compilers can really help you shine.
✨Understand the Company’s Vision
Research the firm’s latest projects and innovations in AI technology. Being able to discuss how your skills align with their goals will demonstrate your genuine interest and enthusiasm for the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, the technology stack, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.