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- Tasks: Design and optimise software for machine learning accelerators using PyTorch.
- Company: Leading AI technology firm in Bristol with a focus on innovation.
- Benefits: Flexible working, private medical insurance, and a supportive environment.
- Other info: Collaborate with open-source communities and enhance your skills.
- Why this job: Join a dynamic team and contribute to cutting-edge AI projects.
- Qualifications: Bachelor’s in a relevant field and experience in Python or compiler development.
The predicted salary is between 28000 - 38000 £ per year.
A leading AI technology firm in Bristol is looking for a Software Engineer to join their PyTorch team. The successful candidate will design, implement, and optimize software for machine learning accelerators, ensuring high-quality support in frameworks like PyTorch.
Responsibilities include:
- Feature development
- Code reviews
- Collaborating with open-source communities
A Bachelor’s in a relevant field and experience in Python or compiler development are essential.
Benefits include flexible working, private medical insurance, and a supportive work environment.
Graduate PyTorch Software Engineer - Flexible in Bristol employer: graphcore
Contact Detail:
graphcore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate PyTorch Software Engineer - Flexible in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space, especially those working with PyTorch. Attend meetups or webinars to connect with potential colleagues and get your name out there.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects, especially any related to machine learning or PyTorch. This gives you a chance to demonstrate your coding chops and passion for the field.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and compiler development knowledge. Practice coding challenges and be ready to discuss your thought process during problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for fresh talent, and applying directly can give you an edge. Plus, it’s a great way to show your enthusiasm for joining our team.
We think you need these skills to ace Graduate PyTorch Software Engineer - Flexible in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and PyTorch. Let us know what excites you about this opportunity and how you can contribute to our team.
Showcase Your Projects: If you've worked on any machine learning projects or contributed to open-source communities, make sure to mention them. We love seeing practical examples of your work, especially if they involve PyTorch!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at graphcore
✨Know Your PyTorch Inside Out
Make sure you brush up on your PyTorch knowledge before the interview. Familiarise yourself with its latest features and optimisations, as well as any recent updates in the community. Being able to discuss these confidently will show your passion and commitment to the role.
✨Showcase Your Coding Skills
Prepare to demonstrate your Python skills during the interview. You might be asked to solve coding problems or discuss your previous projects. Have examples ready that highlight your experience with machine learning accelerators and compiler development, as this will directly relate to the job.
✨Collaborate Like a Pro
Since collaboration is key in this role, think of examples where you've worked effectively in a team, especially in open-source communities. Be ready to discuss how you handle code reviews and feature development, as this will illustrate your ability to contribute positively to the team.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s projects and future directions in AI technology. This not only shows your interest but also helps you gauge if the company culture aligns with your values, especially regarding flexible working and support.