At a Glance
- Tasks: Join our AI Inference team to optimise performance and enhance cutting-edge models.
- Company: Exciting AI startup offering hands-on experience in a dynamic environment.
- Benefits: Gain valuable experience with potential full-time offers for outstanding performers.
- Other info: Flexible hybrid schedule and opportunities for career growth in London.
- Why this job: Make an impact in the AI field while working with innovative technologies.
- Qualifications: Pursuing a Master's or PhD in Computer Science with strong engineering skills.
The predicted salary is between 20000 - 30000 £ per year.
Perplexity is excited to announce the Internship Program for exceptional Master's or PhD students studying Computer Science or Engineering in the UK, enrolled in the 2025-2026 academic year. This is an intensive program in which you will work directly with our AI Inference team. This program offers a unique opportunity to gain valuable experience in a rapidly growing AI startup. Outstanding performers might be offered a full-time position at the end of the program.
Our AI Inference team is responsible for running the models behind the Perplexity products. The team maintains the inference engine and deployments behind models ranging from single-node embeddings to distributed sparse Mixture-of-Experts models, maintaining large GPU clusters. With a keen focus on latency and throughput, the Inference team is responsible for the entire serving stack, from GPU kernels to networking and monitoring infrastructure.
Responsibilities
- Work with the inference team to improve serving latency and throughput.
- Bring up support for new models and state-of-the-art inference optimizations or quantization schemes.
- Optimize inference across the entire stack, from GPU kernels to serving endpoints.
Qualifications
- Strong engineering track record with proven knowledge of fundamentals and programming languages (multi-threaded programming, networking, compilation, systems programming, etc).
- Pursuing a Master's or PhD in Computer Science with a focus on performance-related subjects (HPC, Compilers, Distributed Systems).
- Experience with ML frameworks (Torch, JAX).
- Experience with GPU programming (CUDA, Triton).
- Experience with High-Performance Computing (OpenMPI).
Schedule
- Internship program: 13 weeks, full-time or part-time, in-person in London office (hybrid schedule: 3 days from the office, 2 days WFH).
Interview Process
- Fill out the application on Perplexity website.
- If selected, People Ops and technical interviews will be involved.
- Offer. We're impressed! We'd love to welcome you to our Internship program!
- Start. We have a desk waiting for you in our London office!
FAQ
- Do you sponsor visas? Can I apply if I need a visa to work in the UK? Unfortunately, we are unable to sponsor visas.
- What if I'm on a student visa? You need to seek approval from your University (to determine if you are eligible to work full time or part time only).
- How many internship spots are there? We have spots for 2-3 interns in our 2026 class.
- Is housing provided? Unfortunately, we cannot provide housing.
- Is health insurance provided? Unfortunately, we cannot provide health insurance for interns. Full-time employees receive full health insurance and benefits.
- How many full-time offers are available at the end of the residency? There is no limit. All outstanding performers will be given a full-time offer!
AI Inference Internship in London employer: Pantera Capital
Perplexity is an exceptional employer for aspiring AI professionals, offering a dynamic internship programme that immerses you in cutting-edge technology within a supportive and innovative work culture. Located in London, our hybrid work model promotes flexibility while providing hands-on experience with advanced AI systems, ensuring that interns not only contribute to impactful projects but also have ample opportunities for personal and professional growth. Join us to kickstart your career in a rapidly evolving field, where outstanding performers are rewarded with full-time positions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Inference Internship in 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 Pantera Capital.
✨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 Pantera Capital, 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 Pantera Capital!
We think you need these skills to ace AI Inference Internship in London
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 Pantera Capital 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 Pantera Capital 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 Pantera Capital!
How to prepare for a job interview at Pantera Capital
✨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 Pantera Capital 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.
