Skip to main content
ResumeKart
← Back to Jobs

Staff AI Research Engineer

Duolingo•Pittsburgh, PA
Full-time3-7
👁️ 0 views•📝 0 applications•Posted 8/16/2026•Expires 11/3/2026
Tailor Resume for This JobCheck ATS Score

Get alerts for roles like this

More Staff AI Research Engineer roles in Pittsburgh, PA — straight to your inbox. No account needed.

Applying to this role? Tailor your résumé to this job description in one click, then download it free — just a small ResumeKart footer, no subscription.

Job Description

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 Engineer to join our Duolingo Monetization team. The ideal candidate will have a proven track record as an AI research engineer, with extensive experience across various machine learning techniques including large language models, multi-armed bandits, and more. They will have experience at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring. On the Monetization team, we’re building AI systems to improve the learning experience while driving our business, including deploying our research into bandit models to balance revenue and retention. Given the broad set of AI domains, broad experience in AI/ML is highly desirable. 🧠 You will... Join 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 bandit models and large-scale neural network models. 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 Monetization leadership group. Stay up-to-date with the latest developments in machine learning, particularly in LLMs and bandits, 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... 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 leadership and communication skills, with the ability to manage and inspire a team. 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 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: 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 . Equal Employment Opportunity: 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. Fraud Warning: 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. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Required Skills

AI researchmachine learninglarge language modelsmulti-armed banditsfeature engineeringtraining data developmentfine-tuningreinforcement learningquality evaluationsdeploymentmonitoringAI systemsdata-driven decision making

Partner picks for Staff AI Research Engineer in Pittsburgh

Matched to the skills this page calls for and the candidate's location.

Partner
  • edXVerified partner
    Partner course provider

    Courses and programmes from universities and institutions worldwide.

    covers machine learning
  • Partner course provider

    Free online courses from IITs and IISc, with proctored certification exams.

    covers machine learning
  • Partner course provider

    Structured programmes for software engineers, data science and DevOps.

    covers machine learning

Partners are ResumeKart affiliates or institutes it works with; ResumeKart may earn a commission when a candidate enrols. Placement is decided by relevance, not payment. How ResumeKart earns

Prepare to Win This Role

Everything you need to ace the interview and negotiate top-of-band compensation.

The best-paying roles in your field. Every week. Free.

Get job alerts and salary insights in your inbox

We respect your privacy. Unsubscribe anytime with one click.