AI Inference Engineer, Perplexity AI

Salary not provided

Kubernetes

Python

Tensorflow

C++

Rust

CUDA

PyTorch

Junior, Mid and Senior level

London

Conversational AI-powered search tool

Open for applications

Conversational AI-powered search tool

1001+ employees

B2CArtificial IntelligenceDeep TechMachine Learning

Open for applications

Salary not provided

Kubernetes

Python

Tensorflow

C++

Rust

CUDA

PyTorch

Junior, Mid and Senior level

London

1001+ employees

B2CArtificial IntelligenceDeep TechMachine Learning

Company mission

To advance the way people discover and share information.

Job

Company

Role

Who you are

Experience with ML systems and deep learning frameworks (e.g. PyTorch, TensorFlow, ONNX)
Familiarity with common LLM architectures and inference optimization techniques (e.g. continuous batching, quantization, etc.)
Understanding of GPU architectures or experience with GPU kernel programming using CUDA

What the job involves

We are looking for an AI Inference engineer to join our growing team. Our current stack is Python, Rust, C++, PyTorch, Triton, CUDA, Kubernetes
You will have the opportunity to work on large-scale deployment of machine learning models for real-time inference
Develop APIs for AI inference that will be used by both internal and external customers
Benchmark and address bottlenecks throughout our inference stack
Improve the reliability and observability of our systems and respond to system outages
Explore novel research and implement LLM inference optimizations

Salary benchmarks

Our take

As AI continues to drive changes in both business operations and day-to-day lives, Perplexity AI 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 will allow Perplexity AI to continue building out its product, and accelerate growth into the future.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

Glassdoor (4.7)

Trustpilot (1.8)

Company

Funding (last 2 of 9 rounds)

Sep 2025

$200m

LATE VC

Jul 2025

$100m

LATE VC

Total funding: $1.7bn

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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