Duolingo

HQ
Pittsburgh
Total Offices: 6
670 Total Employees
Year Founded: 2011

Duolingo Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers occupational accident insurance

Offers disability insurance

Offers charitable contribution matching

Offers accidental death & dismemberment insurance

Provides adoption assistance

Provides fertility benefits

Offers generous parental leave

Offers company equity

Offers employee discounts

Offers performance bonuses

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers dependent care

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Company Culture

Provides commuter benefits

Provides free snacks and drinks

Office is pet friendly

Provides a mobile phone discount

Utilizes a flexible work schedule

Offers a remote work program

Offers diversity-based Employee Resource Groups

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Provides bereavement leave

Provides paid holidays

Offers sabbatical leave

Provides military leave

Career Growth + Development

Provides customized development tracks

Recently posted jobs

16 Hours AgoSaved
Hybrid
New York, NY, USA
Edtech • Machine Learning • Mobile • Other • Software
Lead Duolingo's New Subjects engineering pillar (Math, Music, Chess). Co-lead product and technical strategy, manage multiple directors and 100+ engineers, drive AI/LLM-powered features and Unity-based gameplay, ensure reliability and developer productivity, hire and develop leadership, and partner with Product, Design, Learning, and AI to deliver high-impact, experiment-driven products.
16 Hours AgoSaved
Hybrid
New York, NY, USA
Edtech • Machine Learning • Mobile • Other • Software
Lead a multidisciplinary AI research engineering team to build, train, fine-tune, deploy, and monitor large-scale ML models (including LLMs and recommender systems), drive experiments, collaborate with cross-functional partners, mentor engineers, and influence product and technical strategy for the Language Learning group.
16 Hours AgoSaved
Hybrid
Pittsburgh, PA, USA
Edtech • Machine Learning • Mobile • Other • Software
Lead a multidisciplinary AI research engineering team to develop, train, deploy, and monitor ML models (including LLMs, personalization, and recommenders). Drive cross-functional alignment, mentor engineers, set technical direction, run experiments, and ensure scalable, high-quality ML solutions.