Machine Learning Engineer

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 designing and implementing machine learning models that drive our recommendation systems, retrieval algorithms, and classifiers.

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 $250,000.

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 is part of the total compensation package.

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