Member of Technical Staff, Perplexity

Machine Learning Engineer, Ranking Quality, Search

Salary not provided

Senior and Expert level

London

3 days a week in office

Conversational AI-powered search tool

Be an early applicant

Conversational AI-powered search tool

1001+ employees

B2CArtificial IntelligenceDeep TechMachine Learning

Be an early applicant

Salary not provided

Senior and Expert level

London

3 days a week in office

1001+ employees

B2CArtificial IntelligenceDeep TechMachine Learning

Company mission

To advance the way people discover and share information.

Job

Company

Role

Who you are

We are looking for a strong ranking generalist who can own ambiguous problems end to end and brings exceptional depth in either neural ranking or production ranking systems
Deep understanding of search or recommender systems and their evaluation
Proven ownership of a large-scale production ranking system or a substantial class of quality problems
Strong machine-learning and software-engineering skills across data, models, serving, and monitoring
Ability to drive ambiguous, cross-team problems without continuous task decomposition
Exceptional depth in either modern neural ranking methods or low-latency ranking systems and runtime
Minimum 5 years of relevant industry experience

What the job involves

Perplexity is seeking an experienced Machine Learning Engineer to improve search quality across the middle and later stages of ranking
Relentlessly push search quality forward through models, data, evaluation, infrastructure, or any other leverage available
Own ranking-quality problems end to end: define the evaluation, identify the bottleneck, build the solution, and ship it safely
Train and evaluate retrieval, ranking, and classification models, including neural and LLM-based approaches where appropriate
Build and operate ranking infrastructure, including feature computation, low-latency inference, multi-stage cascades, deployment, and monitoring
Make sound trade-offs across quality, latency, reliability, cost, and engineering complexity
Collaborate across Data, AI, Infrastructure, and Product while retaining ownership of the final quality outcome

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

Top investors

Trustpilot (1.5)

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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