Monetization ML Research Engineer - LLMs & Bandits

Duolingo; Northern (KY); Hybrid; USD 221,000 - 331,000; Full time

Job summary

Duolingo is seeking an experienced AI Research Engineer to join the Monetization team. You will contribute to bandit models and large-scale neural networks, bridging research and product to balance revenue and retention while maintaining educational goals.

You will collaborate with cross-functional teams to ensure model outputs align with company objectives and drive strategic decisions. You will work with frontend, backend, and other AI engineers, mentor colleagues, and stay current with

Qualifications

• Proven experience as an AI research engineer in LLMs, bandits, CV or related fields.
• Strong background in training and fine-tuning large models in an applied setting.
• Advanced degree in CS/Engineering with focus on ML/AI or equivalent experience.

Responsibilities

• Join a full-stack team of frontend, backend, and other AI Research engineers.
• Contribute to the development and training of bandit models and large-scale neural network models.
• Collaborate with cross-functional teams 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.

Skills

LLMs

Bandits

Leadership

Education

MS/PhD in CS/Engineering

Job description

Duolingo is seeking an experienced AI Research Engineer to join the Monetization team. You will contribute to bandit models and large-scale neural networks, bridging research and product to balance revenue and retention while maintaining educational goals.

You will collaborate with cross-functional teams to ensure model outputs align with company objectives and drive strategic decisions. You will work with frontend, backend, and other AI engineers, mentor colleagues, and stay current with