AI Inference Intern: Optimize Latency & Throughput (London)

AI Inference Intern: Optimize Latency & Throughput (London)

London Internship 70000 - 90000 £ / year (est.) No working from home possible
Perplexity AI

At a Glance

  • Tasks: Maintain and optimise the inference engine for AI products, ensuring high performance across GPU clusters.
  • Company: Join Perplexity AI, a leader in innovative AI solutions based in London.
  • Benefits: Gain hands-on experience, flexible hours, and mentorship from industry experts.
  • Other info: 13-week internship available, full-time or part-time, in a dynamic team environment.
  • Why this job: Make a real impact on cutting-edge AI technology while developing your skills.
  • Qualifications: Pursuing a Master's or PhD in Computer Science with ML framework experience.

The predicted salary is between 70000 - 90000 £ per year.

Perplexity AI is looking for candidates to join their AI Inference team in London. This role involves maintaining and optimizing the inference engine for products while ensuring high latency and throughput across GPU clusters.

Applicants should be pursuing a Master's or PhD in Computer Science, have a strong engineering background, and experience with ML frameworks like Torch or JAX.

This position is available as a full-time or part-time internship program over 13 weeks in-person.

AI Inference Intern: Optimize Latency & Throughput (London) employer: Perplexity AI

Perplexity AI is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. With a strong emphasis on employee growth, interns are provided with hands-on experience in cutting-edge AI technologies, alongside mentorship from industry experts. The collaborative environment encourages creativity and problem-solving, making it an ideal place for aspiring engineers to thrive and make meaningful contributions.

Perplexity AI

Contact Details:

Perplexity AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Inference Intern: Optimize Latency & Throughput (London)

Join Developer Communities!

Dive into online communities like GitHub or Stack Overflow. Contributing to open-source projects can really showcase your coding skills and catch the eye of hiring managers at companies like Perplexity AI.

Attend Tech Meetups and Hackathons

Get your name out there by attending local tech meetups and hackathons. It's a perfect way to network with industry professionals and fellow interns, while also demonstrating your coding prowess in a collaborative setting.

Leverage University Career Services

Don't forget about your university's career services! They often have partnerships with companies like Perplexity AI, and can help you access exclusive internship listings and workshops tailored for aspiring interns like us.

Show Off Your Work

Create a portfolio showcasing your coding projects on a platform like GitHub Pages or personal website. When applying for internships, we should link this to provide tangible proof of our skills and creativity, making us stand out to Perplexity AI!

We think you need these skills to ace AI Inference Intern: Optimize Latency & Throughput (London)

Python
SQL
Problem-Solving Skills
Communication Skills
Data Engineering
Attention to Detail
Data Pipeline Development

Some tips for your application 🫡

Show Off Your Side Projects:If you've got any side projects or contributions to open source, make sure to highlight them in your CV. We want to see what you can create! Include links to your GitHub or any relevant platforms to give us a taste of your coding style and skills.

Tailor Your CV for Software Engineering:Make your CV pop by tailoring it specifically for software engineering. List relevant programming languages, frameworks, and tools you’ve worked with, and showcase any tech stacks you're familiar with. This will help us quickly see how you fit into the Perplexity AI team!

Let Your Passion Shine in Your Cover Letter:In your cover letter, don't just list your skills—tell us why you're passionate about software engineering! We love to see candidates who are eager to learn and grow, so share what excites you about this field and how a role at Perplexity AI can help you on your journey.

Demonstrate Your Learning Mindset:As this is an internship, focus on your willingness to learn and adapt! We’re keen to see examples of how you’ve tackled challenges or learnt new skills in the past. Bring that eagerness to your application, showing us that you're ready to dive into a real-world software environment at Perplexity AI!

How to prepare for a job interview at Perplexity AI

Showcase Your Coding Skills

Since you're aiming for a software engineering internship, be ready to code on the spot or discuss your past projects. Brush up on your problem-solving skills, and practise coding challenges on platforms like LeetCode or HackerRank. We want to see how you approach problems and apply your knowledge, so having a few coding examples up your sleeve will definitely help!

Bring Your Portfolio to Life

Prepare a portfolio that highlights your coding projects—don't just list them! Be ready to explain your thought process, the technologies used, and any challenges you faced. It’s not just about the final product; we want to hear how you made it happen, so this narrative will show your depth of understanding and passion for software development.

Get Familiar with Technical Questions

Expect some technical questions or scenarios in the interview that assess your understanding of algorithms, data structures, and software design. Practise explaining your coding decisions clearly—it's less about getting the right answer and more about demonstrating your thought process and reasoning skills, which are crucial for growth in an internship.

Highlight Your Willingness to Learn

As an intern, your enthusiasm and eagerness to learn are key! During the interview, emphasise your willingness to tackle new challenges and pick up new skills. Companies like Perplexity AI are often looking for candidates who can grow with them, so remind us why you're excited about opportunities to learn and contribute in a team environment.