AI Software Engineer - Discovery

undefined ago • 4 Years + • Research Development • $200,000 PA - $280,000 PA

Job Summary

Job Description

Perplexity is an AI-powered answer engine founded in December 2022, rapidly growing as a leading AI platform. With over $1B in venture investment, our objective is to build accurate, trustworthy AI for decision-making. We seek Software Engineers to build the next generation of AI discovery experience, bringing curated or LLM-generated content to users. This role involves building discovery product solutions from infrastructure to machine learning to boost user engagement.
Must have:
  • Build various types of user and content signals for content recommendation
  • Build various types of query understanding models to power many different vertical contents
  • Work across the entire recommendation system stack to deliver models and contents scalably
  • Partner with Product manager and partner team engineers for fast, high-quality deliverables
Perks:
  • Comprehensive health insurance
  • Dental insurance
  • Vision insurance
  • 401(k) plan

Job Details

Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious.

Perplexity is seeking Software Engineers to help build next generation of AI discovery experience. In this role, you'll bring different source of curated or LLM generated content and build discovery product solutions from infra to ML to bring them to all users to boost the engagement.

Responsibilities

  • Build various types of user and content signals for content recommendation
  • Build various types of query understanding models to power many different vertical contents including shopping, sports, finance and more
  • Flexible to work across the entire recommendation system stack to deliver various types of models and contents to end users in a scalable and performant way
  • Partner with Product manager and partner team engineers to ensure fast and high quality deliverable to end users

Qualifications

  • Strong programming skills with the ability to work across the stack in a typical recommendation system or LLM stack
  • Experience in training and productionizing DNN and Transformer architecture models
  • Experience in working with other LLM APIs to complete tasks like fine tuning, prompt mining or prototyping new ideas
  • Understands how to make tradeoffs in using different models
  • Self-motivated with a willingness to take ownership of tasks
  • A passion for shipping quality products
  • 4+ years of industry experience

The cash compensation range for this role is $200,000 - $280,000.

Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.

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

Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

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