Duolingo is hiring a

Language Assessment Scientist, Duolingo English Test

New York, United States

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. 

Read our blog to learn more.


About the role

Duolingo is looking for a language assessment scientist with the desire and ability to support validity and efficacy research. You will join the Duolingo English Test’s growing research team and contribute to the agile, ongoing research supporting our efforts to advance Duolingo’s mission through science. 

 

icon-brain-16px  You will...

  • Work with dedicated assessment scientists, engineers, and designers to bring ground-breaking assessment instruments to life
  • Collaborate on studies related to the validity and efficacy of the Duolingo English Test
  • Help to develop responsible AI standards and practices
  • Disseminate Duolingo English Test research findings through blogs, technical reports, conference presentations (LTRC, AAAL, LARC, etc.), and peer-reviewed journals (Language Testing, Applied Linguistics, Language Assessment Quarterly, etc.)

 

icon-check-16px  You have...

  • Must have PhD in language testing, applied linguistics, educational measurement, or a related field
  • 2-3 years of work experience in an education-related field (academia or industry)
  • Must be proficient in R or Python to conduct data analysis
  • Outstanding interpersonal communication and organizational skills
  • Experience developing and/or conducting research on high-stakes language assessments, or other meaningful professional experience
  • Research expertise and publication/presentation record in the field of language assessment
  • Experience with large language models for content generation and a general knowledge of machine learning, natural language processing, and other technologies in language testing
  • Familiarity with standard language proficiency frameworks (CEFR preferred)
  • A desire to make the world a better place through technology
  • Ability to relocate to NYC or Pittsburgh, PA

 

icon-star-16px  Exceptional candidates will have...

  • 5+ years of post-PhD experience working in an education-related field
  • Outstanding skills in R and Python to conduct data analysis
  • Relevant quantitative coursework and experience
  • Experience with the design and development of computer-adaptive tests
  • Proficiency in other programming languages

Take a peek at how we care for our employees' holistic well-being with our benefits here.

We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter.

Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.

We post a multi-level salary range for all of our roles.

This is not inclusive of the rest of our awesome portfolio that includes equity compensation and world-class benefits. Our salary ranges are the same for all US locations. Your recruiter can share more details about the range for a specific level during the hiring process. The actual salary within the range is determined by many factors including but not limited to, skills, experience, education, and internal equity.

Salary Range:
$108,800$178,500 USD
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