At a Glance
- Tasks: Analyse and enhance performance of neural network architectures in AI and robotics.
- Company: Groupe-Ebra-1, a leader in AI and robotics innovation.
- Benefits: Meaningful time off, fully funded private healthcare, and a supportive work environment.
- Other info: Collaborative team culture with opportunities for professional growth.
- Why this job: Join top engineers and make a real impact in the AI and robotics field.
- Qualifications: 3+ years in deep-learning systems with strong Python and PyTorch/JAX skills.
The predicted salary is between 60000 - 80000 € per year.
Groupe-Ebra-1 is seeking a Neural Network Performance Engineer to join their team in London. The successful candidate will analyze performance bottlenecks of model architectures and implement changes to enhance performance.
Candidates should have 3+ years in building deep-learning systems and strong skills in Python and PyTorch/JAX.
The position offers meaningful time off, fully funded private healthcare, and collaboration with top engineers in AI and robotics, ensuring a supportive work environment.
Robotics AI Inference Engineer in London employer: Groupe-Ebra-1
Groupe-Ebra-1 is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those passionate about AI and robotics. With meaningful time off and fully funded private healthcare, employees are supported both personally and professionally, while the opportunity to work alongside top engineers in the field ensures continuous growth and development.
StudySmarter Expert Advice🤫
We think this is how you could land Robotics AI Inference Engineer in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and robotics field on LinkedIn. A friendly message can go a long way, and who knows, they might just refer you to your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your deep-learning projects, especially those using Python and PyTorch/JAX. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to neural networks and performance optimisation. Practising with a friend or using mock interview platforms can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Robotics AI Inference Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with deep-learning systems and your skills in Python and PyTorch/JAX. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and robotics, and how you can contribute to our team. We love seeing enthusiasm and a personal touch!
Showcase Your Projects:If you've worked on any cool projects related to neural networks or performance optimisation, make sure to mention them. We’re keen to see your hands-on experience and how you tackle challenges in this 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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Groupe-Ebra-1
✨Know Your Neural Networks
Make sure you brush up on your knowledge of neural network architectures. Be ready to discuss specific models you've worked with and how you've tackled performance bottlenecks in the past. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot or explain your thought process while coding. Practising common algorithms and data structures in Python can give you an edge.
✨Familiarise Yourself with PyTorch/JAX
Dive deep into PyTorch and JAX before your interview. Be prepared to discuss how you've used these frameworks in your projects. If you can share specific examples of optimisations you've implemented, it’ll really impress the interviewers.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the projects you'll be working on, and how they measure success. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
