At a Glance
- Tasks: Design and develop high-quality software systems for machine learning.
- Company: Join Graphcore, a leading tech company in Greater London.
- Benefits: Enjoy competitive benefits and an inclusive work culture.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Make a difference in AI while mentoring the next generation of engineers.
- Qualifications: Proficient in Python with strong design skills and CI/CD knowledge.
The predicted salary is between 60000 - 80000 £ per year.
Graphcore in Greater London is seeking an experienced Software Engineer to design, develop, and maintain high-quality software systems for machine learning software stacks. Candidates should have strong software design and architecture skills, and a proven track record in mentoring junior engineers. The ideal candidate will be proficient in Python and familiar with CI/CD systems. The role offers competitive benefits and an inclusive working environment.
Staff ML QA Engineer: Test Automation for AI Stack employer: graphcore
Graphcore is an exceptional employer located in Greater London, offering a dynamic and inclusive work culture that fosters innovation and collaboration. Employees benefit from competitive remuneration, comprehensive benefits, and ample opportunities for professional growth, including mentoring roles that allow experienced engineers to shape the next generation of talent. With a focus on cutting-edge technology in machine learning, Graphcore provides a stimulating environment where your contributions can make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Staff ML QA Engineer: Test Automation for AI Stack
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Graphcore. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and CI/CD systems. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common ML QA scenarios. Think about how you would approach testing for AI stacks and be ready to share your thought process during the interview.
✨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 at Graphcore. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Staff ML QA Engineer: Test Automation for AI Stack
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and CI/CD systems. 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 machine learning and how your background makes you a great fit for our team. Let us know what excites you about working at Graphcore.
Show Off Your Mentoring Skills:Since we value mentorship, share examples of how you've helped junior engineers grow. Whether it's through code reviews or guiding them on projects, we want to see your leadership in action!
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 Tech Inside Out
Make sure you brush up on your Python skills and understand the intricacies of CI/CD systems. Be ready to discuss your previous projects and how you've applied these technologies in real-world scenarios.
✨Showcase Your Mentoring Skills
Since the role involves mentoring junior engineers, prepare examples of how you've guided others in the past. Think about specific situations where your support made a difference and be ready to share those stories.
✨Understand the Company Culture
Research Graphcore's values and work environment. Be prepared to discuss how you can contribute to their inclusive culture and why you believe it’s important in a tech setting.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, ongoing projects, and future challenges they face. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
