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채용Perplexity AI

AI Software Engineer - Comet Agents

Perplexity AI

AI Software Engineer - Comet Agents

Perplexity AI

San Francisco

·

On-site

·

Full-time

·

1mo ago

필수 스킬

Python

AI

Product Development

Perplexity is seeking an energetic engineer to join our highly driven Comet Agents engineering team. The Comet Agents team consists of AI/ML, backend, and full-stack engineers who collaborate to build delightful agentic experiences within our Comet ecosystem https://www.perplexity.ai/comet. Our vision is to empower our users with AI agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world.

As an engineer on our Comet Agents team, you will bring AI expertise, sharp product intuition, and a tinkerer's mindset to advance the frontier of what agents can accomplish for our millions of devoted users. You will work across applied research and engineering to solve many open problems in AI, including:

  • Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users;

  • Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives;

  • Providing consistently excellent experiences across desktop, mobile, headless cloud, and other environments through flexible abstractions and frictionless backgrounding;

  • Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities;

  • Designing optimal data representations and modes of interaction between agents and their environments;

  • and much, much more.

RESPONSIBILITIES:

  • Drive cutting-edge AI capabilities across multiple layers of a rapidly growing product in the AI agents space.

  • Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase.

  • Ensure a high craft and quality bar, in both AI agent performance and user experience.

  • Collaborate with fellow engineers, designers, product managers, data scientists, and others across the company to integrate core Perplexity functionality into Comet agents and vice-versa.

  • Contribute to product reliability, code quality, AI evaluation, testing, and maintenance across the broader team.

QUALIFICATIONS:

  • Strong foundational familiarity with the full AI product stack.

  • Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).

  • Significant experience in at least one of the following areas:

  • Context engineering and tool interfaces for frontier AI models

  • Post-training and reinforcement learning (particularly for multimodal models)

  • Browser technologies (CDP, Playwright, extension development, etc.)

  • Strong product intuition and taste for user experience excellence.

  • Comfortable working with a small, fast-moving team, must be willing to dive in and take ownership.

  • A passion for shipping products that surprise and delight.

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Perplexity AI 소개

Perplexity AI

Perplexity AI, Inc., or simply Perplexity, is an American privately held software company offering a web search engine that processes user queries and synthesizes responses.

51-200

직원 수

San Francisco

본사 위치

$1B

기업 가치

리뷰

3.8

10개 리뷰

워라밸

3.2

보상

2.5

문화

4.0

커리어

2.5

경영진

2.8

65%

친구에게 추천

장점

Supportive team and management

Good work-life balance and flexibility

Cutting-edge technology and interesting projects

단점

Low compensation compared to industry standards

Poor management and lack of leadership direction

Fast-paced and overwhelming workload

연봉 정보

26개 데이터

Junior/L3

Junior/L3 · LLM Teacher

1개 리포트

$101,920

총 연봉

기본급

$78,400

주식

-

보너스

-

$101,920

$101,920

면접 경험

1개 면접

난이도

4.0

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 0%

부정 100%

면접 과정

1

Application Review

2

HR Screen

3

Take-home Marketing Challenge

4

Hiring Manager Interview

5

Panel Interview

6

Offer

자주 나오는 질문

Digital Marketing Strategy

Campaign Performance Analysis

Behavioral/STAR

Technical Marketing Knowledge

Case Study