Perplexity is building the next generation answer engine, empowering our users to find information in new and more effective ways. Perplexity applies LLMs for knowledge search at scale, serving millions of users across the world. In pursuit of this mission, we are looking for engineers to build recommendation systems for a more engaging, easier to use product. You will be part of a dynamic team dedicated to pushing the boundaries of what's possible with machine learning, particularly in the realms of content discovery and personalization.
Our current backend stack is Python, Rust, TensorRT-LLM, Kubernetes, AWS. You will work 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 groundwork infrastructure for retrieval.
- 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.
- Experience with retrieval infrastructure.
- Creative problem-solving skills with an ability to explore a new landscape 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 with machine learning and backend engineering.
The cash compensation for this role is $200,000 to $280,000.
At Perplexity, we've experienced tremendous growth and adoption since publicly launching the world's first fully functional conversational answer engine in 2022. We've grown from answering 2.5 million questions per day at the start of 2024 to around 20 million daily queries in December 2024. We also offer Perplexity Enterprise Pro, which counts leading companies like Nvidia, the Cleveland Cavaliers, Bridgewater, and Zoom as customers.
To support our rapid expansion, we've raised significant funding from some of the most respected technology investors. Our investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Daniel Gross, Naval Ravikant, Tobi Lutke, and many other visionary individuals. In 2024, our employee base grew nearly 300%, and we're just getting started.
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 is part of the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.
Top Skills
What We Do
The most powerful answer engine. Powering curiosity with answers backed by up-to-date sources. This is where knowledge begins.
.png)
_0.png)
