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- Tasks: Benchmark and validate complex ML software stacks for AI systems.
- Company: Leading AI compute company based in Cambridge.
- Benefits: Competitive salary, flexible working, and comprehensive benefits package.
- Why this job: Join a cutting-edge team and ensure the reliability of AI workloads.
- Qualifications: Strong ML expertise with experience in PyTorch, TensorFlow, and Python.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI compute company in Cambridge is seeking an experienced ML Engineer to focus on benchmarking and validating a complex ML software stack. The role requires strong ML expertise, hands-on experience with frameworks like PyTorch and TensorFlow, and proficiency in Python. Collaboration with software and hardware teams is key in this technically demanding position. The successful candidate will be instrumental in ensuring performance and reliability across AI workloads while enjoying a competitive salary and benefits package, including flexible working.
Senior MLQA Engineer: Benchmark & Validate AI Systems in Cambridge employer: graphcore
Contact Detail:
graphcore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior MLQA Engineer: Benchmark & Validate AI Systems in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with PyTorch and TensorFlow. This not only highlights your expertise but also gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding the latest trends in ML. Practise coding challenges and be ready to explain your thought process clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior MLQA Engineer: Benchmark & Validate AI Systems in Cambridge
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with ML frameworks like PyTorch and TensorFlow in your application. We want to see how your hands-on expertise can contribute to our team!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Senior MLQA Engineer role. We love seeing how you align with our needs.
Collaboration is Key: Since this role involves working closely with software and hardware teams, mention any relevant collaborative projects you've been part of. We value teamwork and want to know how you fit into that dynamic.
Apply Through Our Website: For the best chance of success, make sure to apply through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at graphcore
✨Know Your ML Frameworks
Make sure you brush up on your knowledge of PyTorch and TensorFlow. Be ready to discuss specific projects where you've used these frameworks, as well as any challenges you faced and how you overcame them.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python. You might be asked to solve coding problems or explain your approach to writing clean, efficient code. Practising common algorithms and data structures can really help here.
✨Collaboration is Key
Since this role involves working closely with software and hardware teams, think of examples that highlight your teamwork skills. Be ready to discuss how you’ve successfully collaborated on past projects and resolved conflicts.
✨Understand AI Workloads
Familiarise yourself with the types of AI workloads you’ll be benchmarking and validating. Being able to speak knowledgeably about performance metrics and reliability will show that you’re serious about the role and understand its demands.
