AI Systems Engineer, Perplexity AI

Salary not provided

Equity: In addition to the base salary, equity may be part of the total compensation package

Kubernetes

Python

Tensorflow

C++

Rust

CUDA

PyTorch

Junior, Mid and Senior level

London

Conversational AI-powered search tool

Be an early applicant

Conversational AI-powered search tool

21-100 employees

B2CArtificial IntelligenceDeep TechMachine Learning

Be an early applicant

Salary not provided

Equity: In addition to the base salary, equity may be part of the total compensation package

Kubernetes

Python

Tensorflow

C++

Rust

CUDA

PyTorch

Junior, Mid and Senior level

London

21-100 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.)
Experience with deploying reliable, distributed, real-time model serving at scale
(Optional) 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 artificial intelligence 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 10 million monthly visits, Perplexity's "ask anything" method of search is clearly a popular one. 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 (4.2)

Trustpilot (1.6)

Company

Funding (last 2 of 6 rounds)

Dec 2024

$500m

LATE VC

May 2024

$250m

LATE VC

Total funding: $915m

Company benefits

Equity
Comprehensive health, dental, and vision insurance for you and your dependents
401(k)
Generous home-office stipend

Company HQ

Financial District, San Francisco, CA

Leadership

Aravind Srinivas

(Co-Founder & 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)

PhD Student in AI at NYU. Former AI Research Scientist at Facebook AI Research, and Staff ML Engineer at Quora.

Johnny Ho

(Co-Founder & CSO)

Previously a Quantitative Trader at Tower Research Capital, and Engineer at Quora.

Andy Konwinski

(Co-Founder)

Co-Founder and Advisor at Databricks. Co-Founder and General Partner at CS Graduate Ventures, and Instructor at the University of California, Berkeley.

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