Senior AI Engineering Manager

Duolingo
New York, US
On-site

Who this role is best for

Aimed at senior AI engineering managers with expertise in large language models and recommender systems, comfortable leading multidisciplinary teams in New York.

Best fit for

  • Experienced AI research engineering managers with a track record in large-scale neural networks.
    — “Proven experience as an AI research engineer, for example, in LLMs
  • Leaders who can attract and develop diverse engineering talent.
    — “Attract, grow, and retain diverse engineering talent
  • Technical mentors comfortable guiding architecture and quality standards.
    — “Technical depth sufficient to guide architecture and implementation trade‑offs

Things to consider

  • Role requires managing a full-stack team including frontend and backend engineers.
    — “Manage a full-stack team of frontend, backend, and other AI Research engineers
  • Must stay current with latest machine learning developments.
    — “Stay up-to-date with the latest developments in machine learning

How to stand out

  • Demonstrate strategic impact by highlighting cross-functional collaboration in past roles.
    — “Collaborate with cross-functional teams to understand their needs
  • Showcase experience in fine-tuning large models in applied settings.
    — “Strong background in training and fine-tuning large models in an applied setting
  • Emphasize leadership in evolving quality standards and mentoring engineers.
    — “evolve quality standards, and mentor engineers on best practices
Pace · SteadyCollaboration · HighAutonomy · HighDecision Impact · CompanyLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • successful AI model development
  • improved learning experience
  • team growth and retention
Typical background
advanced degree in Computer Science, Engineering, or a related fieldexperience in AI research

Skills & requirements

Required

Machine LearningLarge Language ModelsPersonalizationRecommender SystemsExperimentation

Preferred

Team ManagementTechnical DepthCross-functional Collaboration

Stack & domain

AIMachine LearningLarge Language ModelsPersonalizationRecommender SystemsExperimentationFeature EngineeringTraining DataFine-tuningReinforcement LearningQuality EvaluationsDeploymentMonitoringFrontendBackendTeam ManagementMentorshipTechnical LeadershipStrategic Product And Business Decision-makingCareer DevelopmentTeam CultureTechnical DepthArchitecture And Implementation Trade-offsQuality StandardsBest PracticesCommunicationStakeholder ManagementTeam LeadershipCollaborationInnovationProblem SolvingDecision MakingStrategic PlanningProject ManagementCustomer FocusVoice Of The Customer

About the role

Original posting from Duolingo

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 finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. 

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

About the role...

We are looking for an experienced AI Research Engineering Manager to join our Duolingo Language Learning team. The ideal candidate will have a proven track record leading multidisciplinary teams, including AI research engineers. They will have extensive experience across various machine learning techniques, including large language models, personalization, recommender systems, and experimentation. They will be comfortable working at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring. On the Language Learning team, we’re building the AI systems that support the core learning features of Duolingo, improving the learning experience and helping our learners build healthy, productive habits. Given the broad set of AI domains, broad experience in AI/ML is highly desirable.

 

🧠  You will...

Manage a full-stack team of frontend, backend, and other AI Research engineers, fostering a collaborative and innovative work environment.

Contribute to the development and training of a variety of machine learning models, including large-scale neural networks.

Collaborate with cross-functional teams to understand their needs, to align the models’ outputs with company objectives.

Participate in and help drive strategic product and business decision-making as a member of the Language Learning leadership group. 

Attract, grow, and retain diverse engineering talent; provide clear expectations, coaching, and career development, and build a healthy, inclusive team culture.

Stay up-to-date with the latest developments in machine learning and apply this knowledge to drive advancements in our projects.

Mentor team members, providing guidance and support in their professional development.

Ensure the delivery of high-quality, scalable, and efficient machine learning solutions.

 

✅  You have...

Experience leading, managing, and building a team of software engineers, with demonstrated ability to hire, develop, and retain talent.

Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields.

Strong background in training and fine-tuning large models in an applied setting.

Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience.

Excellent communication and stakeholder management skills across engineering, product, design, and data; clear written specs and status updates.

Technical depth sufficient to guide architecture and implementation trade‑offs, evolve quality standards, and mentor engineers on best practices.

Deep understanding of machine learning concepts, frameworks, and best practices.

The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role!

Salary Range: $220,800—$331,200 USDTake 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 accommodations@duolingo.com.

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.

Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.

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Source: Duolingo careers

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