Speak
Machine Learning Engineer, Voice
San Francisco
Sponsorship not specifiedDetected 868 days ago
PythonMachine LearningDeep LearningPyTorchA/B TestingCommunication
About the role
- In this role you will take ownership of the end-to-end modeling pipeline, from training and experimentation to deployment and monitoring.
- This is an incredibly exciting time to join an ML team designing a personalized learning experience that will revolutionize language learning for millions of learners worldwide - come join us!
- Training and deploying ASR models end-to-end, including monitoring, performance tracking, and retraining
Responsibilities
- Building and maintaining data infrastructure such as training/evaluation datasets and labeling pipelines
Requirements
- 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
- Experience with speech or audio
Benefits
- Improving the pronunciation model that provides precise feedback, and make it more central to our learning app
- We are looking for an experienced Machine Learning Engineer to join our team and help develop cutting-edge speech recognition models that help teach language fluency.
- You will also work closely with Product teams to design innovative learning experiences and measure the efficacy of production models as they affect our end users.
Company info
- Our mission is to reinvent the way people learn, starting with language.
- Learning a language can change a life by opening doors to new cultures, careers, and communities. Two billion people around the world are actively trying to learn a language, but the best way to learn (one-on-one tutoring) is hard to access at scale and hasn't been meaningfully improved in decades. Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons. The result is a complete path from beginner to confident speaker across multiple languages.
- Speak first launched in South Korea in 2019, where Speak has now become the number one language learning app, and we now serve learners across many markets and 15+ languages. Speak is one of the world's leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.
- Learning a language can change a life by opening doors to new cultures, careers, and communities.
- Two billion people around the world are actively trying to learn a language, but the best way to learn (one-on-one tutoring) is hard to access at scale and hasn't been meaningfully improved in decades.
- Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons.
- The result is a complete path from beginner to confident speaker across multiple languages.
- Speak first launched in South Korea in 2019, where Speak has now become the number one language learning app, and we now serve learners across many markets and 15+ languages.
- Speak is one of the world's leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.
- we're growing very quickly, we've most recently raised our Series C from some of the top investors in the valley, and we've achieved product-market fit in our initial markets.
- You'd join at a magical time when a single person could significantly change the course of the company.
- We are a small, dynamic team where you will contribute as a developer and thought partner on team projects like ASR, assessment, pronunciation, content personalization, and much more.
This listing is sourced directly from Speak's careers page and normalized into a canonical job model.