AI Engineer, Applied ML at Perplexity AI

New York, New York, United States

Perplexity AI Logo
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

Key technologies and capabilities for this role

Machine LearningLLMsRetrievalRankingPersonalizationQuery UnderstandingContent DiscoveryA/B TestingData Analysis

Questions & Answers

Common questions about this position

What experience level is required for this AI Engineer role?

The role requires 5+ years of experience building and shipping robust ML/AI models for large-scale, user-facing or data-driven products.

What technical skills are preferred for this position?

Preferred skills include deep expertise in deep learning (PyTorch, TensorFlow, JAX), LLMs, information retrieval, content summarization, recommendation systems, NLP, ranking, and strong software engineering in Python.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What makes a strong candidate for this Applied ML Engineer role?

Strong candidates have 5+ years in ML/AI for large-scale products, deep expertise in deep learning and LLMs, full ML lifecycle experience, proven collaboration skills, and a passion for user impact and AI innovation; bonus for LLM prompt engineering and RAG.

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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