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 employer: Groupe-Ebra-1
Groupe-Ebra-1 is an excellent employer for those passionate about AI and robotics, offering a collaborative work culture where innovation thrives. With meaningful time off and fully funded private healthcare, employees are supported both personally and professionally, while opportunities for growth abound as you work alongside top engineers in the field in the vibrant city of London.
StudySmarter Expert Advice🤫
We think this is how you could land Robotics AI Inference Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Groupe-Ebra-1 on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your deep-learning projects, especially those using Python and PyTorch/JAX. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Mock interviews with friends or mentors can help us nail those tricky technical questions. Focus on explaining your thought process clearly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to match what Groupe-Ebra-1 is looking for.
We think you need these skills to ace Robotics AI Inference Engineer
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 your expertise can help us tackle performance bottlenecks. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any cool projects related to neural networks or AI, make sure to mention them! We love seeing practical examples of your work, so include links or descriptions that demonstrate your skills.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
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, the challenges you faced, and how you optimised their performance. 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 for this role, 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 or JAX, whichever you're more comfortable with. Be prepared to discuss how you've used these frameworks in past projects, including any performance bottlenecks you encountered and how you resolved them. This will highlight your hands-on experience and technical prowess.
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with questions about the team, the projects you'll be working on, and the company culture. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Plus, it gives you a chance to engage with your interviewers!
