AI Inference Internship, Perplexity
More information about location
3 days a week in office
Conversational AI-powered search tool
Open for applications
Conversational AI-powered search tool
1001+ employees
Open for applications
More information about location
3 days a week in office
1001+ employees
Company mission
To advance the way people discover and share information.
Role
Who you are
- 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)
What the job involves
- 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
- 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
- Internship program: 13 weeks, full-time or part-time, in-person in London office
Application 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!
Salary benchmarks
Our take
As AI continues to drive changes in both business operations and day-to-day lives, Perplexity delivers an intelligent search engine powered by conversational AI, to improve search outcomes and "unlock the power of knowledge" for all.
Reaching impressive heights of 22M monthly visits, Perplexity's "ask anything" method of search is clearly a popular one. And what sets it apart from other search engines is in its answers, which are concise and fully cited, responding to the user query rather than simply providing a place in which they can scroll to find it themselves.
The company has raised substantial funding, with contributions from former execs at companies like OpenAI, Meta, and Quora, demonstrating the interest that it has drummed up in the space. Having doubled its annual recurring revenue between 2023 and 24, this investment has allowed Perplexity to continue building out its product, and accelerate growth into the future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 9 rounds)
Sep 2025
$200m
LATE VC
Jul 2025
$100m
LATE VC
Total funding: $1.8bn
Company HQ
Financial District, San Francisco, CA
Leadership
Aravind Srinivas
(Co-Founder, President & CEO)Former Research Scientist at OpenAI, who has interned in Research at Google and Deep Mind. Obtained a PhD in Computer Science from the University of California, Berkeley.
Denis Yarats
(Co-Founder & CTO)Prior to co-founding Perplexity in 2022, Denis was an AI Research Scientist at Facebook AI Research, a Staff ML Engineer at Quora, and a Software Development Engineer at Microsoft.
Johnny Ho
(Co-Founder & CSO)Previously a Quantitative Trader at Tower Research Capital, and Engineer at Quora.
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