Senior AI Research Engineer - Video Call & Equity

Duolingo; Pennsylvania; On-site; USD 197,000 - 267,000; Full time

Job summary

Duolingo is seeking a Senior AI Research Engineer to join the Video Call team, building AI systems that improve the learning experience for hundreds of millions of users. You will contribute to training diverse ML models, including large-scale neural networks, speech, and text-to-speech, while collaborating with cross-functional teams.

The ideal candidate has proven experience in AI research engineering across LLMs, multimodal modeling, and speech, with the ability to mentor teammates and

Qualifications

• Proven AI research engineer experience in LLMs, multimodal modeling, or speech.
• Strong background in training and fine-tuning large models in applied settings.
• Advanced degree in Computer Science, Engineering, or related field, or equivalent experience.

Responsibilities

• Join a full-stack team of frontend, backend and other AI Research engineers to foster collaboration.
• Contribute to development and training of machine learning models including large neural networks, speech and text-to-speech.
• Collaborate with cross-functional teams to align model outputs with company objectives.
• Participate in strategic product and business decisions with Language Learning leadership.
• Stay up-to-date with latest ML developments and apply them to projects.
• Mentor team members and guide their professional development.
• Ensure delivery of high-quality, scalable ML solutions.

Skills

LLMs

Multimodal modeling

Speech systems

Training large models

Fine-tuning

Leadership

Education

Advanced degree in CS or related field

Job description

Duolingo is seeking a Senior AI Research Engineer to join the Video Call team, building AI systems that improve the learning experience for hundreds of millions of users. You will contribute to training diverse ML models, including large-scale neural networks, speech, and text-to-speech, while collaborating with cross-functional teams.

The ideal candidate has proven experience in AI research engineering across LLMs, multimodal modeling, and speech, with the ability to mentor teammates and