Senior ML Benchmarking & QA Engineer in Cambridge

Senior ML Benchmarking & QA Engineer in Cambridge

Cambridge Full-Time 50000 - 70000 £ / year (est.) No working from home possible
graphcore

At a Glance

  • Tasks: Test and benchmark cutting-edge ML software to ensure performance and reliability.
  • Company: Join Graphcore, a leading tech company in Cambridge with a focus on innovation.
  • Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Fast-paced environment with a collaborative culture and room for career advancement.
  • Why this job: Be part of a dynamic team shaping the future of AI technology.
  • Qualifications: Experience in ML testing and a passion for quality assurance.

The predicted salary is between 50000 - 70000 £ per year.

Graphcore in Cambridge is looking for an ML QA Engineer to test and benchmark a complex ML software stack. The role is focused on ensuring performance, reliability, and correctness across contemporary AI workloads.

The successful candidate will work in a fast-paced environment, testing industry-standard ML frameworks and building automated testing pipelines, all while collaborating with talented software engineers dedicated to quality and innovation.

Senior ML Benchmarking & QA Engineer in Cambridge employer: graphcore

Graphcore is an exceptional employer located in the vibrant tech hub of Cambridge, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from a strong focus on professional growth, with opportunities to work alongside industry leaders in AI and machine learning, while enjoying a supportive environment that values quality and creativity in every project.

graphcore

Contact Details:

graphcore Recruitment 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 industry, especially those at Graphcore or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.

Tip Number 2

Show off your skills! Create a portfolio showcasing your work with ML frameworks and automated testing pipelines. This will give you an edge and demonstrate your hands-on experience.

Tip Number 3

Prepare for technical interviews by brushing up on your knowledge of performance, reliability, and correctness in AI workloads. Practice common ML problems and be ready to discuss your past projects.

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, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Senior ML Benchmarking & QA Engineer in Cambridge

Machine Learning
Benchmarking
Quality Assurance
Performance Testing
Reliability Testing
Correctness Testing
Automated Testing Pipelines

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with ML frameworks and testing. We want to see how your skills align 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 passionate about ML benchmarking and QA. We love seeing enthusiasm for the field, so let your personality come through.

Showcase Your Problem-Solving Skills:In your application, mention specific challenges you've faced in previous roles and how you tackled them. We’re looking for candidates who can think critically and adapt in a fast-paced environment.

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’s super easy!

How to prepare for a job interview at graphcore

Know Your ML Frameworks

Make sure you brush up on the industry-standard ML frameworks mentioned in the job description. Familiarise yourself with their performance metrics and common pitfalls. This will not only show your technical knowledge but also your genuine interest in the role.

Showcase Your Testing Experience

Prepare to discuss your previous experience with testing and benchmarking ML software. Be ready to share specific examples of how you've ensured performance, reliability, and correctness in past projects. This will demonstrate your hands-on expertise and problem-solving skills.

Emphasise Collaboration Skills

Since the role involves working closely with software engineers, highlight your teamwork experiences. Share instances where you collaborated effectively to achieve a common goal, especially in fast-paced environments. This will illustrate that you can thrive in their dynamic setting.

Prepare Questions About Innovation

Think of insightful questions to ask about Graphcore's approach to innovation in ML. This could be about their current projects or future directions. Asking thoughtful questions shows your enthusiasm for the role and helps you gauge if the company aligns with your career aspirations.