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- Tasks: Benchmark ML models and frameworks while developing automation for performance testing.
- Company: Leading AI compute company in Cambridge with an inclusive culture.
- Benefits: Flexible working, competitive salary, and comprehensive benefits.
- Why this job: Join a cutting-edge team and shape the future of machine learning.
- Qualifications: 6+ years in machine learning, Python proficiency, and knowledge of PyTorch or TensorFlow.
- Other info: Dynamic environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI compute company in Cambridge is hiring an experienced Machine Learning Engineer to benchmark models and frameworks. This role involves developing and maintaining automation for testing performance across ML systems.
The ideal candidate has over 6 years of experience in machine learning, proficiency in Python, and familiarity with major ML frameworks like PyTorch or TensorFlow.
The company offers flexible working, competitive salary, and comprehensive benefits in an inclusive environment.
Senior ML Benchmarking & QA Engineer in Cambridge employer: Cerebras
Contact Detail:
Cerebras Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Benchmarking & QA Engineer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving benchmarking and automation. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML frameworks like PyTorch or TensorFlow. Practice coding challenges and system design questions to demonstrate your expertise during interviews.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you a better chance of getting noticed by recruiters.
We think you need these skills to ace Senior ML Benchmarking & QA Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and automation. We want to see how your skills align with the role, so don’t be shy about showcasing your proficiency in Python and any major ML frameworks you've worked with.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about ML benchmarking and QA. Share specific examples of your past work that demonstrate your expertise and how you can contribute to our team.
Showcase Relevant Projects: If you’ve worked on any projects related to ML systems or performance testing, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions of your work that highlight your achievements.
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 gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Cerebras
✨Know Your ML Frameworks
Make sure you brush up on your knowledge of major ML frameworks like PyTorch and TensorFlow. Be ready to discuss your experience with these tools, as well as any specific projects where you've benchmarked models or optimised performance.
✨Showcase Your Python Skills
Since proficiency in Python is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that showcases your understanding of machine learning concepts.
✨Prepare for Automation Discussions
This position involves developing automation for testing performance, so be ready to talk about your experience with automation tools and frameworks. Think of examples where you've implemented automated testing in your previous roles and how it improved efficiency.
✨Emphasise Team Collaboration
The company values an inclusive environment, so highlight your ability to work collaboratively. Share examples of how you've successfully worked in teams, especially in cross-functional settings, and how you contribute to a positive team culture.