# Staff AI Research Engineer
**Company:** [Duolingo](https://hotfix.jobs/companies/duolingo)
**Location:** Pittsburgh, PA
**Salary:** $221K-$331K
**Experience:** 7+ years
**Skills:** Machine Learning, LLMs, Multi-Armed Bandits, Reinforcement Learning, Fine-Tuning, Feature Engineering, Model Deployment, Model Monitoring, Computer Vision, Python
**Posted:** 2026-06-26
> Build and deploy AI systems (LLMs, bandits) for monetization, balancing revenue and retention. Requires advanced ML degree or equivalent, applied large-model experience, and leadership skills.
## Job Description
## Responsibilities
- 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.

## Requirements
- 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.

## Nice-to-Haves
- Experience across various machine learning techniques including large language models, multi-armed bandits.
- Experience at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring.
**Apply:** https://hotfix.jobs/jobs/staff-ai-research-engineer-at-duolingo-65cf4d21-0115-46a1-805c-e030e5236dfc
**Canonical:** https://hotfix.jobs/jobs/staff-ai-research-engineer-at-duolingo-65cf4d21-0115-46a1-805c-e030e5236dfc