Senior Machine Learning Engineer

3 Hours ago • 5 Years +

Job Summary

Job Description

Perplexity is seeking a Senior Machine Learning Engineer to build advanced search technologies, focusing on retrieval and ranking. Responsibilities include pushing search quality through models and data, architecting and building search platform components, training and evaluating retrieval, ranking and classification models (including LLMs), deploying models scalably, building and optimizing RAG pipelines, and collaborating with various teams. The role requires a deep understanding of search systems, a proven track record with large-scale search or recommender systems, and a self-driven approach. Perplexity has experienced rapid growth, with millions of users and significant funding, indicating a dynamic and expanding environment.

Must have:

Deep understanding of search and retrieval systems.
Proven experience with large-scale search or recommender systems.
Self-driven with strong ownership and execution skills.
Minimum 5 years of experience in search or recommendation projects.

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Job Details

Perplexity is seeking an experienced Senior Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking.

Responsibilities

Relentlessly push search quality forward—through models, data, tools, or any other leverage available
Architect and build core components of our search platform and model stack
Train and evaluate retrieval, ranking and classification models, including LLMs
Deploy models - from boosting to LLMs - in a scalable and performant way
Build and optimize RAG pipelines for grounding and answer generation
Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery

Qualifications

Deep understanding of search and retrieval systems, including quality evaluation principles and metrics
Proven track record with large-scale search or recommender systems
Self-driven, with a strong sense of ownership and execution
Minimum of 5 years of working on search or recsys-related projects

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.