Applied ML Engineer, Speech jobs in United States
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Speak · 2 days ago

Applied ML Engineer, Speech

Speak is a leading AI company focused on reinventing language learning through an AI-powered tutor. They are seeking an experienced Machine Learning Engineer to develop advanced speech recognition models, oversee the modeling pipeline, and collaborate with product teams to enhance learning experiences.

Artificial Intelligence (AI)E-LearningLanguage LearningSpeech Recognition
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H1B Sponsor Likelynote

Responsibilities

Training and deploying ASR models end-to-end, including monitoring, performance tracking, and retraining
Improving the pronunciation model that provides precise feedback, and make it more central to our learning app
Creating metrics to measure ASR performance across tasks and languages
Expanding our ASR systems to new languages and markets
Building and maintaining data infrastructure such as training/evaluation datasets and labeling pipelines

Qualification

Machine LearningDeep LearningPythonPyTorchASR modelsProduct senseSpeechAudio experienceCommunication skillsTeam collaboration

Required

Extensive experience training large models on GPUs and deploying custom deep learning models
Proficiency in Python and common Deep Learning frameworks like PyTorch
Demonstrated experience owning ML pipelines end to end, from POC to production
Strong communication skills and the ability to explain complex ML concepts to non-technical stakeholders
Sharp product sense and an ability to think broadly and cross-functionally about model quality in the context of user experience

Preferred

Experience with speech or audio

Company

Speak

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The language learning app that gets you speaking

H1B Sponsorship

Speak 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 (3)
2024 (3)

Funding

Current Stage
Growth Stage
Total Funding
$152M
Key Investors
AccelBuckley VenturesLachy Groom
2024-12-10Series C· $78M
2024-06-21Series B· $20M
2023-07-19Series B· $16M

Leadership Team

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Andrew Hsu
Cofounder & CTO
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Company data provided by crunchbase