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- Tasks: Join the AI Inference team to enhance AI model performance and efficiency.
- Company: Exciting tech startup in the UK focused on innovation.
- Benefits: Flexible working hours, potential full-time offer, and hands-on experience.
- Other info: Hybrid work model with great opportunities for career advancement.
- Why this job: Gain valuable experience in AI while working with cutting-edge technology.
- Qualifications: MSc/PhD in Computer Science or Engineering with programming skills.
The predicted salary is between 500 - 1500 £ per month.
A technology startup in the UK is offering an internship program for exceptional Master's or PhD students in Computer Science or Engineering. This full-time or part-time opportunity involves working with the AI Inference team to improve latency and throughput across AI models.
Candidates should have a strong engineering background and knowledge of programming languages. Outstanding performers may receive a full-time job offer at the end of the internship. The position is hybrid, requiring 3 days in the office and 2 days from home.
London AI Inference Internship for MSc/PhD Students employer: Perplexity AI Inc.
Contact Detail:
Perplexity AI Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land London AI Inference Internship for MSc/PhD Students
✨Tip Number 1
Network like a pro! Reach out to current or former interns at the company through LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. We recommend practising coding challenges and discussing AI models you've worked on. Show them you’re not just a candidate, but a problem-solver!
✨Tip Number 3
Don’t underestimate the power of a follow-up! After your interview, drop a quick thank-you email. It shows enthusiasm and keeps you fresh in their minds.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing familiar names when we review candidates!
We think you need these skills to ace London AI Inference Internship for MSc/PhD Students
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your engineering background and any relevant programming skills. We want to see how your experience aligns with the AI Inference team's goals, so don’t hold back on showcasing your 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 how you can contribute to improving latency and throughput. Let us know what excites you about this internship and our team.
Showcase Your Projects: If you've worked on any cool projects related to AI or programming, make sure to mention them! We love seeing practical applications of your skills, so include links or descriptions that demonstrate your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Perplexity AI Inc.
✨Know Your AI Models
Make sure you brush up on the latest AI models and their performance metrics. Be ready to discuss how you can improve latency and throughput, as this is a key focus for the team.
✨Show Off Your Coding Skills
Prepare to demonstrate your programming knowledge. Have examples ready that showcase your engineering background, especially in languages relevant to AI development. You might even be asked to solve a coding challenge during the interview!
✨Understand the Hybrid Work Model
Since the position is hybrid, think about how you can effectively collaborate with the team both in the office and remotely. Be prepared to discuss your strategies for maintaining productivity and communication in a hybrid setting.
✨Ask Insightful Questions
Prepare thoughtful questions about the internship and the company culture. This shows your genuine interest and helps you assess if the role is the right fit for you. Consider asking about the team's current projects or future goals in AI inference.