AI Machine Learning Engineer - Query Understanding (SF Or Palo Alto)

Details

Perplexity is seeking experienced Applied AI & ML Engineers to build and improve the query understanding systems that power our next-generation information discovery experience. In this role, you'll focus on understanding user intent deeply and accurately, which is foundational to providing relevant, high-quality, and context-aware responses.

Responsibilities

• Architect and develop core machine learning models for query understanding, including intent classification, query rewriting, agentic task decomposition, and function calling.
• Leverage and fine-tune LLMs to capture nuanced user intent and contextual signals from user queries and behaviors.
• Deliver end-to-end ML solutions and own the full stack to optimize query understanding.
• Partner with Product manager and collaborate with other engineers to ensure fast and high quality deliverable to end users.

Qualifications

• Strong programming skills with the ability to work across the stack in a typical recommendation system or LLM stack.
• Experience in training DNN and Transformer architecture models.
• Self-motivated with a willingness to take ownership of tasks.
• A passion for shipping quality products.
• 4+ years of industry experience in related fields, including search, information retrieval, recommendation system, applied machine learning, and NLP.

Benefits

• Comprehensive health, dental, and vision insurance for you and your dependents.
• Includes a 401(k) plan.
• Equity may be part of the total compensation package.

Additional Info

• Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the listed salary range.

• Company highlights include significant growth, 10 million monthly active users, 1 million mobile app installs, and major funding rounds valuing the company over $1 billion.