AI Software Engineer, Perplexity AI

Data Platform

$200-280k

+ Equity

AWS

Docker

Spark

Flink

RDS

DynamoDB

Senior and Expert level

New York

San Francisco Bay Area

More information about location

3 days a week in office

Conversational AI-powered search tool

Open for applications

Conversational AI-powered search tool

21-100 employees

B2CArtificial IntelligenceDeep TechMachine Learning

Open for applications

$200-280k

+ Equity

AWS

Docker

Spark

Flink

RDS

DynamoDB

Senior and Expert level

New York

San Francisco Bay Area

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

Extensive programming and data engineering skills, with proficiency in open source & distributed data processing (AWS, Spark, Flink, Iceberg)
Familiarity with cloud-based data services (e.g., AWS, RDS, DynamoDB), containerized infrastructure (e.g., EKS, Docker), and data streaming (Flink, Spark streaming, CDC
Strong quantitative and engineering skills with experience in estimating performance at high scale
Experience supporting various ML/AI engineering teams to build scalable platforms to accelerate R&D for frontier models and AI products
Self-motivated with a strong sense of ownership of systems and designs
5+ years of industry experience in distributed systems or AI infrastructure

What the job involves

Perplexity is seeking an experienced Software Engineer focusing on building the next-gen AI Data Platform to help revolutionize the way people search and interact online. In this role, you'll help build Perplexity’s end-to-end AI data stack and flywheel which powers all AI products, ML use cases and language models
Collaborating closely with AI Product, Applied ML, Post-Training and Data Science teams to design, build, and maintain scalable data pipelines and data lakes
Developing, deploying, and monitoring entire data lifecycle for ingestion, transformation, streaming and storage at high scale
Implementing tools and abstractions on top of data infrastructure for a variety of analytics, recommendations, AI product and post-training use cases
Working closely with product and AI teams to develop reusable data resources and design patterns
Tech Stack: Spark | AWS Data Stack (S3, RDS, DynamoDB, Docker, EKS, Kinesis) | Pytorch | Docker | Databricks | Snowflake

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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