Jobs
Required Skills
GPU programming
Systems programming
ML frameworks
High-Performance Computing
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:
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Work with the inference team to improve serving latency and throughput
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Bring up support for new models and state-of-the art inference optimizations or quantization schemes
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Optimize inference across the entire stack, from GPU kernels to serving endpoints
Qualifications:
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Strong engineering track record with proven knowledge of fundamentals and programming languages (multi-threaded programming, networking, compilation, systems programming, etc)
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Pursuing a Master's or PhD in Computer Science with a focus on performance-related subjects (HPC, Compilers, Distributed Systems)
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Experience with ML frameworks (Torch, JAX)
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Experience with GPU programming (CUDA, Triton)
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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
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Fill out the application on Perplexity website
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If selected, People Ops and technical interviews will be involved.
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Offer. We’re impressed! We’d love to welcome you to our Internship program!
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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 2025 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!
At Perplexity, we've experienced tremendous growth and adoption since publicly launching the world's first fully functional conversational answer engine in 2022. We've grown from answering 2.5 million questions per day at the start of 2024 to around 20 million daily queries in December 2024. We also offer Perplexity Enterprise Pro, which counts leading companies like Nvidia, the Cleveland Cavaliers, Bridgewater, and Zoom as customers.
To support our rapid expansion, we've raised significant funding from some of the most respected technology investors. Our investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Daniel Gross, Naval Ravikant, Tobi Lutke, and many other visionary individuals. In 2024, our employee base grew nearly 300%, and we're just getting started.
Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.
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About Perplexity AI

Perplexity AI
Series BPerplexity AI, Inc., or simply Perplexity, is an American privately held software company offering a web search engine that processes user queries and synthesizes responses.
51-200
Employees
San Francisco
Headquarters
$1B
Valuation
Reviews
4.0
1 reviews
Work Life Balance
3.0
Compensation
3.0
Culture
3.0
Career
3.5
Management
3.0
70%
Recommend to a Friend
Pros
Helpful tool for research and analysis
Useful for job application preparation
Effective for complex marketing challenges
Cons
Limited feedback provided
No specific criticisms mentioned
Insufficient detail on potential drawbacks
Salary Ranges
28 data points
Senior/L5
Senior/L5 · Data Scientist
0 reports
$791,025
total / year
Base
-
Stock
-
Bonus
-
$672,171
$909,879
Interview Experience
1 interviews
Difficulty
4.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 0%
Negative 100%
Interview Process
1
Application Review
2
HR Screen
3
Take-home Marketing Challenge
4
Hiring Manager Interview
5
Panel Interview
6
Offer
Common Questions
Digital Marketing Strategy
Campaign Performance Analysis
Behavioral/STAR
Technical Marketing Knowledge
Case Study
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