Member of Technical Staff – Perplexity Frontier Research

Perplexity

. Develop fundamentally new algorithms, models, and evaluations .

Posted 11/9/2026full-timeNew York City • New York • United StatesLead💰 $220,000 - $485,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong foundations in probability, optimization, linear algebra, and algorithms, with proficiency in Python and deep learning frameworks. Capable of developing innovative algorithms and conducting advanced research in areas such as reinforcement learning and continual learning.

Highest-signal resume keywords

Python ProficiencyDeep Learning Framework ProficiencyStrong Foundations In ProbabilityAlgorithms DevelopmentResearch Experience In Reinforcement Learning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ProbabilityOptimizationLinear AlgebraAlgorithmsDeep LearningResearch Application ResponsesCode ScalabilityEmpirical ResearchModel DevelopmentSystem Evaluation

Soft Skills

InitiativeExceptional Work EthicAI Research Judgment

Certifications & Qualifications

PhD In Technical Discipline

Industry Keywords

OrchestrationPre-TrainingContinual LearningReinforcement LearningLarge-Scale Models

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Develop fundamentally new algorithms, models, and evaluations
Build an automated scientist capable of conducting deep research and providing high-quality service at low cost
Conduct research across orchestration, pre-training, continual learning, reinforcement learning, systems, and evaluations
Release work as papers, blog posts, and code
Complete research application responses demonstrating technical ability, initiative, exceptional work, and AI research judgment
Work from an office in person four days per week

Requirements

What you’ll need

Strong foundations in probability, optimization, linear algebra, and algorithms
Python proficiency
Proficiency with a deep learning framework
Ability to write code that scales
Researchers who are proficient engineers, or engineers who are also researchers
Evidence of excellence through a result, system, proof, or model that other people use or build on
Helpful, not required: PhD in a technical discipline
Helpful, not required: machine learning papers of outstanding quality
Helpful, not required: prior work in orchestration, pre-training, continual learning, reinforcement learning, systems, or evaluations
Helpful, not required: large-scale empirical work with large models
Ability to work in person four days per week at a listed office

Benefits

Comp & perks

Equity
Health insurance
Dental insurance
Vision insurance
Retirement benefits
Fitness benefits
Commuter accounts
Dependent care accounts
Regionally tailored benefits for full-time employees outside the U.S.