Perplexity AI, Inc. logo

AI Engineer, Applied ML

Job Overview

Location

Remote

Job Type

Full-time

Category

Machine Learning Engineer

Date Posted

February 12, 2026

Full Job Description

đź“‹ Description

  • • Join Perplexity as an Applied ML Engineer and play a pivotal role in shaping the future of AI-powered information discovery. You will be at the forefront of designing, building, and iterating on cutting-edge machine learning and large language models (LLMs) that form the core of our user experience, empowering millions globally to satisfy their curiosity.
  • • This role offers a unique opportunity to apply state-of-the-art ML and LLM techniques to solve complex, impactful problems across several key areas:
  • • **Personalization:** Dive deep into enhancing user experience through advanced LLM memory capabilities, intelligent context summarization, and sophisticated retrieval and ranking algorithms. You will be instrumental in making Perplexity's interactions more relevant and tailored to individual user needs and preferences.
  • • **Query Understanding:** Develop and refine models that accurately interpret user intent, rewrite queries for optimal results, and enable agentic decomposition of complex requests. Your work will ensure that Perplexity can understand and respond to user needs with unparalleled precision and efficiency.
  • • **Content Discovery:** Engineer sophisticated feed ranking and surfacing mechanisms that help users discover the most relevant and engaging content. You will be responsible for optimizing how information is presented, ensuring users find what they need and are exposed to new, interesting topics.
  • • A critical aspect of this role involves the rigorous evaluation of ML and LLM models. You will design and implement both offline and online evaluation techniques, including A/B testing, to establish robust metrics that provide deep insights into model quality, performance, and overall impact on user engagement and satisfaction.
  • • You will own the entire model lifecycle, from initial research and data analysis through to deployment and iterative improvement in production. This end-to-end responsibility includes data preparation, feature engineering, model development, comprehensive evaluation, and continuous monitoring and optimization.
  • • Collaboration is key at Perplexity. You will work closely with a talented cross-functional team of engineers, product managers, data scientists, and designers. Your ability to communicate effectively and contribute to a shared vision will be essential in driving meaningful product improvements through AI.
  • • Staying ahead of the curve in the rapidly evolving fields of ML and AI is paramount. You will be encouraged to explore, evaluate, and incorporate emerging research, algorithms, and techniques into our product development lifecycle, ensuring Perplexity remains an innovator.
  • • This position demands a blend of deep technical expertise and a product-oriented mindset. You should be driven by the desire to create tangible end-user impact and possess a genuine passion for advancing the state of applied ML and AI.
  • • The ideal candidate will bring a strong foundation in software engineering, with the ability to write production-quality code in Python and contribute effectively within collaborative development environments. Experience with scalable systems and distributed computing is highly valued.
  • • You will contribute to building a product that is fundamentally changing how people access and interact with information, making it more intuitive, efficient, and personalized than ever before. Your work will directly influence the experience of millions of users worldwide, helping them to learn, explore, and stay informed.

Skills & Technologies

Python
TensorFlow
PyTorch
Data Science
Remote
Degree Required

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Perplexity AI, Inc. logo
Perplexity AI, Inc.
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About Perplexity AI, Inc.

Perplexity AI operates an AI-powered conversational search engine that answers queries by synthesizing live web information. The platform combines large language models with real-time retrieval, citing sources for transparency. Founded in 2022, the San Francisco-based company offers free and subscription tiers, mobile apps, and browser extensions, targeting consumers and enterprises seeking accurate, verifiable answers instead of traditional link lists.

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