At a Glance
- Tasks: Test and benchmark ML software for performance and reliability using industry-standard frameworks.
- Company: Join Graphcore, a leading tech company based in Bristol, known for innovation.
- Benefits: Enjoy competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic team environment that fosters creativity and automation.
- Why this job: Make an impact in the fast-paced world of AI and contribute to open-source projects.
- Qualifications: Strong foundation in AI, hands-on ML experience, and Python proficiency required.
The predicted salary is between 50000 - 70000 £ per year.
Graphcore, located in Bristol, is seeking a Machine Learning Engineer to join their ML QA team. The role focuses on testing and benchmarking ML software for performance and reliability, working closely with industry-standard frameworks and contributing to open-source projects.
The ideal candidate will have a strong foundation in AI concepts, hands-on experience with ML frameworks, and proficiency in Python for experimentation and automation. Join a fast-paced environment that values innovation and automation.
Senior ML QA Engineer - Benchmarking & Automation in Bristol employer: graphcore
Graphcore is an exceptional employer located in the vibrant city of Bristol, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from opportunities for professional growth through hands-on experience with cutting-edge ML technologies and contributions to open-source projects, all within a supportive environment that prioritises automation and performance excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML QA Engineer - Benchmarking & Automation in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the ML community, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings at places like Graphcore.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML frameworks and Python automation. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on AI concepts and benchmarking techniques. Practice coding challenges and be ready to discuss your past experiences with ML software testing and automation.
✨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 ML QA Engineer - Benchmarking & Automation in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with ML frameworks and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or contributions!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about ML QA and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects:If you've worked on any open-source projects or have hands-on experience with benchmarking and automation, make sure to mention them. We appreciate candidates who can demonstrate their practical knowledge and innovation in the field.
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 – just follow the prompts!
How to prepare for a job interview at graphcore
✨Know Your ML Frameworks
Make sure you brush up on the specific ML frameworks mentioned in the job description. Familiarise yourself with their functionalities and how they relate to benchmarking and automation. Being able to discuss your hands-on experience with these tools will show that you're not just a theoretical candidate.
✨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 or explain a piece of code. Practising common ML automation tasks in Python can help you feel more confident during the interview.
✨Understand AI Concepts Deeply
The ideal candidate has a strong foundation in AI concepts, so make sure you can discuss these confidently. Brush up on topics like model evaluation, overfitting, and performance metrics. Being able to articulate these concepts will set you apart from other candidates.
✨Prepare Questions About Innovation
Graphcore values innovation, so come prepared with questions that show your interest in their projects and future directions. Ask about their approach to open-source contributions or how they stay ahead in the fast-paced ML landscape. This shows you're not just interested in the role but also in the company's vision.
