AI Engineer, Applied ML at Perplexity AI

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

5+ years experience building and shipping robust ML/AI models for large-scale, user-facing or data-driven products
Deep expertise in deep learning (PyTorch, TensorFlow, JAX), LLMs, information retrieval, content summarization, recommendation systems, NLP, and/or ranking
Strong software engineering skills (Python, production-quality codebases, collaborative development)
In-depth experience with the full ML lifecycle: data analysis, feature engineering, iterative model development, rigorous evaluation, and ongoing monitoring/improvement
Proven collaborator and communicator; excels in high-velocity, cross-functional teams
Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI
BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience)
(Bonus) Experience with LLM prompt engineering, Retrieval-augmented generation (RAG) based systems
(Bonus) Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc.)
(Bonus) Open-source or published contributions in ML, NLP, IR, or relevant research fields

Responsibilities

Apply state-of-the-art ML and LLM techniques to solve problems spanning: Personalization (LLM memory, context summarization, retrieval and ranking); Query Understanding (intent modeling, rewriting, agentic decomposition); Content Discovery (feed ranking and surfacing)
Rigorously evaluate LLM/ML models with both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact
Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement
Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements
Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle

Skills

Machine Learning

LLMs

Retrieval

Ranking

Personalization

Query Understanding

Content Discovery

A/B Testing

Data Analysis

Perplexity AI

Advanced answer engine providing reliable information

About Perplexity AI

Perplexity AI provides an advanced answer engine that delivers accurate and reliable responses to user queries. The platform uses current sources to ensure the information is both precise and relevant. It caters to a wide audience, including individuals looking for quick answers and businesses needing detailed information. Unlike many competitors, Perplexity AI emphasizes high-quality, source-backed answers, making it a valuable resource for users seeking trustworthy data. The company's goal is to meet the increasing demand for immediate access to reliable information, generating revenue through subscription fees, advertising, and partnerships.

San Francisco, CaliforniaHeadquarters

2022Year Founded

$890MTotal Funding

LATE_VCCompany Stage

Data & Analytics, Consumer SoftwareIndustries

201-500Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Company Equity

Risks

Pending copyright infringement class action poses legal and financial challenges.

Competition from Google's AI Mode could impact user retention and market share.

Otterly.AI's brand visibility tool may pressure Perplexity to maintain high performance.

Differentiation

Perplexity AI integrates large language models with search engines for precise responses.

The platform offers an open-source environment, enhancing public access to AI tools.

Perplexity's strategic acquisition of Carbon boosts its data connectivity capabilities.

Upsides

Partnership with Tripadvisor enhances travel planning with personalized recommendations.

$500M funding round increases valuation to $9 billion, supporting growth and innovation.

Integration with FactSet attracts financial clients with enhanced data accessibility.

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