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- Tasks: Join the AI Inference team to enhance AI model performance and efficiency.
- Company: Exciting UK tech startup focused on innovation and growth.
- Benefits: Flexible working hours, hybrid model, and potential full-time job offer.
- Why this job: Gain hands-on experience in AI while making a real impact in tech.
- Qualifications: MSc/PhD in Computer Science or Engineering with programming skills.
- Other info: Collaborative environment with opportunities for career advancement.
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 maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. We should practice coding challenges and be ready to discuss our projects in detail. Show them what we’ve got!
✨Tip Number 3
Don’t forget to showcase our passion for AI! During interviews, let’s share our thoughts on recent advancements in AI inference and how we can contribute to the team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight our relevant skills and experiences.
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. We love seeing enthusiasm and a clear understanding of the role.
Showcase Relevant Projects: If you've worked on any projects related to AI or programming, make sure to mention them in your application. We’re keen to see practical examples of your skills and how you’ve tackled challenges in the past.
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 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 latency and throughput can be improved, as this will show your understanding of the role and your passion for the field.
✨Show Off Your Coding Skills
Prepare to demonstrate your programming knowledge during the interview. Have examples ready that showcase your engineering background, particularly in languages relevant to AI development. This could be anything from a project you've worked on to a coding challenge.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the AI Inference team’s current projects or challenges they face. This not only shows your interest but also helps you gauge if the company is the right fit for you.
✨Embrace the Hybrid Model
Since the position is hybrid, be ready to discuss how you manage your time and productivity when working from home. Share any strategies you have for staying connected with your team and ensuring effective collaboration, as this will highlight your adaptability.