About the role...We are looking for a Senior AI Research Engineer to join our Duolingo Video Call team. The ideal candidate will have a proven track record as an AI research engineer, with experience across various machine learning techniques including large language models, speech models, benchmarking, and/or personalization. They will have experience at multiple levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring. On the Video Call team, we're building AI systems that support the core learning mission of Duolingo, improving the learning experience and helping our learners build healthy, productive habits. Given the wide array 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 a variety of machine learning models, including large-scale neural networks, speech recognition, and text-to-speech systems.
- Collaborate with cross-functional teams to understand their needs, to align the models' outputs with company objectives.
- Participate in and influence strategic product and business decision making with members of the Language Learning leadership group.
- 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...- Proven experience as an AI research engineer, for example, in LLMs, multimodal modeling, speech, 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 lead and inspire a team.
- 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:
$197,200-$266,800 USD
Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here.
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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 [redacted].
