AI Software Engineer - Discovery

4 Weeks ago • 4 Years + • $200,000 PA - $280,000 PA

Job Summary

Job Description

Perplexity is looking for Software Engineers to develop the next generation of AI discovery experiences. This role involves integrating diverse sources of curated or LLM-generated content and building discovery product solutions across infrastructure and machine learning to improve user engagement. Responsibilities include building user and content signals for content recommendation, developing query understanding models for various content verticals, working across the recommendation system stack for scalable model delivery, and collaborating with product and engineering teams. The role requires building different types of user and content signals for content recommendation, building various types of query understanding models to power many different vertical contents including shopping, sports, finance and more, being 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, and partnering with Product manager and partner team engineers to ensure fast and high quality deliverable to end users.
Must have:
  • Strong programming skills for recommendation systems or LLM stacks
  • Experience in training and productionizing DNN and Transformer models
  • Experience working with LLM APIs for fine-tuning or prototyping
  • Understands tradeoffs in using different models
  • Self-motivated with a willingness to take ownership
  • A passion for shipping quality products
Perks:
  • Comprehensive health, dental, and vision insurance for you and your dependents
  • Includes a 401(k) plan
  • Equity may be part of the total compensation package

Job Details

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.

At Perplexity, we've experienced tremendous growth and adoption since publicly launching the world's first fully functional conversational answer engine just over a year ago. Our AI-powered search assistant has amassed 10 million monthly active users as of early 2024, with our mobile apps installed over 1 million times across iOS and Android devices. In 2023 alone, we served over 500 million queries from users around the globe.

To support our rapid expansion, we've raised significant funding from some of the most respected investors in technology. In January 2024, we raised $73.6 million in a Series B round led by IVP, with participation from NVIDIA, Jeff Bezos' investment fund, NEA, Databricks, and other prominent firms. We followed that up with a $62.7 million Series B1 round in April 2024 led by Daniel Gross, valuing Perplexity at over $1 billion.
Our prominent investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Naval Ravikant, Tobi Lutke, and many other visionary individuals.
 
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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