Senior Machine Learning Engineer, Perplexity AI

Search

$160-250k

+ Equity

Python

Java

C++

Rust

Senior and Expert level

London

More information about location

3 days a week in office

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

$160-250k

+ Equity

Python

Java

C++

Rust

Senior and Expert level

London

More information about location

3 days a week in office

21-100 employees

B2CArtificial IntelligenceDeep TechMachine Learning

Company mission

To advance the way people discover and share information.

Job

Company

Role

Who you are

Deep understanding of search and retrieval systems, including quality evaluation principles and metrics
Proven track record with large-scale search or recommender systems
Hands-on experience with transformer-based models for dense retrieval, ranking, and classification in large-scale search systems
Master’s degree or PhD in Engineering, Computer Science, Math, Physics, or a related field
8 years of experience in software development and with data structures/algorithms in either (C, C++, Python, Java, Go or Rust)
5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning)
5 years of experience designing, training, and evaluating machine learning models
3 years of experience in a technical leadership role leading project teams and setting technical direction
Self-driven, with a strong sense of ownership and execution

What the job involves

Perplexity is seeking an experienced Senior Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking
Relentlessly push search quality forward—through models, data, tools, or any other leverage available
Architect and build core components of our search platform and model stack
Train and evaluate retrieval, ranking and classification models, including LLMs
Deploy models - from boosting to LLMs - in a scalable and performant way
Build and optimize RAG pipelines for grounding and answer generation
Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery

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 (4.1)

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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