UK Internship Program
Perplexity · London, United Kingdom · AI
About this role
Perplexity is hiring a intern-level Data Engineer based in London, United Kingdom (hybrid). The posting calls out experience with CUDA, Databricks, PyTorch, Distributed Systems. Listed education preference: a master's degree or equivalent.
- Role
- Data Engineer
- Function
- data engineering
- Level
- intern
- Track
- Individual contributor
- Employment
- Internship
- Location
- London, United Kingdom
- Work mode
- Hybrid
- Education
- Master's degree
- Visa
- Not sponsored
- Department
- AI
- Posted
- Feb 12, 2026
More roles at Perplexity
Job description
from Perplexity careersPerplexity 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)
This is an excerpt. Read the full job description on Perplexity careers →