Perplexity is building the next-generation answer engine, empowering our users to find information in new and more effective ways. We apply LLMs for knowledge search at scale, serving millions of users worldwide. As part of our mission, we are looking for engineers to help build recommendation systems that make our product more engaging and easier to use. You will be part of a dynamic team pushing the boundaries of what's possible with machine learning, particularly in the realms of content discovery and personalization.
Our current backend stack includes Python, Rust, TensorRT-LLM, Kubernetes, and AWS. You will be working on building data pipelines and training machine learning models that drive our recommendation systems and retrieval algorithms.
Responsibilities
- Develop, train, and optimize machine learning models for recommendation systems.
- Build foundational infrastructure for retrieval systems.
- Work with real-world data to create scalable feedback loops.
- Incorporate state-of-the-art LLMs into traditional machine learning systems.
Qualifications
- Experience with machine learning at scale.
- Familiarity with retrieval infrastructure.
- Creative problem-solving skills and the ability to explore new landscapes of models.
- Eagerness to build from 0 to 1 and unlock potential in new products.
- Familiarity with big data pipelines for feature engineering.
- At least 6 years of experience in machine learning and backend engineering.
Compensation
The cash compensation for this role is $200,000 to $280,000.
About Perplexity
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:
- 10 million monthly active users as of early 2024.
- Over 1 million mobile app installs across iOS and Android.
- 500 million queries served globally in 2023 alone.
Our Growth & Funding
To support our rapid expansion, we've raised significant funding from some of the most respected investors in technology:
- January 2024: $73.6 million Series B round led by IVP, with participation from NVIDIA, Jeff Bezos' investment fund, NEA, Databricks, and other prominent firms.
- April 2024: $62.7 million Series B1 round led by Daniel Gross, valuing Perplexity at over $1 billion.
Prominent Investors
Our investor base includes:
- IVP, NEA, NVIDIA, Databricks
- Jeff Bezos, Bessemer Venture Partners
- Elad Gil, Nat Friedman, Naval Ravikant, Tobi Lutke, and many other visionary individuals.
Join us to innovate in recommendation systems and personalization, and help redefine how people discover content in the digital world!
