Duolingo · 1 month ago
Senior AI Engineering Manager
Duolingo is on a mission to develop the best education in the world and make it universally available. They are seeking a Senior Engineering Manager to lead their Video Call Model Team, responsible for building AI models that enhance real-time communication experiences. This role involves guiding a team of engineers and AI experts while collaborating with product and infrastructure teams to implement advanced ML technologies.
E-LearningEducationLanguage LearningMobile Apps
Responsibilities
Lead and mentor an 8–10 person team of ML engineers and researchers; recruit and develop top talent as the team grows
Drive the technical roadmap for our AI models, from research prototyping all the way to production deployment
Oversee end-to-end ML model development, ensuring models meet performance, latency, scalability, and reliability requirements
Collaborate cross-functionally with product, design, and infrastructure teams to translate product requirements into effective ML solutions
Establish strong ML engineering practices, including experimentation pipelines, model training workflows, evaluation benchmarks, and deployment standards
Ensure production excellence by maintaining monitoring systems, establishing metrics, and driving continuous improvements to model quality and user experience
Promote innovation by encouraging the team to explore new research ideas, technologies, and optimizations relevant to speech, audio, and language models
Foster an inclusive, high-performing team culture rooted in collaboration, ownership, and technical excellence
Qualification
Required
Master's degree or higher in AI, Machine Learning, Computer Science, or a closely related field
5+ years of hands-on experience building ML systems, including experience with speech technologies (ASR/STT, TTS) or NLP/LLM models
3+ years of experience managing engineering or research teams, including hiring, mentorship, and performance management
Solid understanding of ML system design, distributed training, inference optimization, and real-time model serving
Excellent communication and collaboration skills; ability to work effectively across engineering, research, and product teams
Demonstrated ability to drive complex technical projects and deliver high-quality results in fast-paced environments
Preferred
Experience building end-to-end speech pipelines, such as automatic speech recognition, speech synthesis, voice activity detection, or audio enhancement
Experience training or fine-tuning small or efficient LLMs for real-time applications
Background in deep learning research, including publications or participation in open-source projects
Familiarity with MLOps tools, model monitoring systems, and large-scale data pipelines
Prior experience growing teams or operating in a fast-scaling environment
Benefits
Equity compensation
World-class benefits
Company
Duolingo
Duolingo is a language-learning education platform that offers 98 total courses across nearly 40 distinct languages.
H1B Sponsorship
Duolingo has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (41)
2024 (46)
2023 (36)
2022 (19)
2021 (14)
2020 (17)
Funding
Current Stage
Public CompanyTotal Funding
$183.3MKey Investors
General AtlanticCapitalGDrive Capital
2021-07-28IPO
2020-11-18Series H· $35M
2020-04-14Series G· $10M
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