About this role
Role Overview
Speak is seeking a Machine Learning Engineer, Voice to build cutting-edge speech recognition models that transform language education. This remote-friendly full-time role is based out of San Francisco and suits an experienced practitioner eager to own end-to-end modeling pipelines.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Speak is an artificial intelligence company on a mission to reinvent language learning by providing a human-level AI tutor in a pocket. Having raised over $150 million in venture backing from prominent investors like OpenAI, Accel, Founders Fund, and Khosla Ventures, the company serves learners globally across 15 plus languages with a distributed team structure.
How to Apply
Interested candidates should visit the official Speak careers page to submit an application for this position.
Skills and tech stack
Questions candidates ask
What is the salary range for the Machine Learning Engineer, Voice role?
The position offers an annual salary between $200,000 and $300,000 USD.
Where is the job located?
The role is based in San Francisco, California, with remote flexibility available.
What technical skills are required?
Candidates must be proficient in Python and PyTorch, have extensive experience training large models on GPUs, and understand end-to-end ML pipelines from proof of concept to production.
Is experience with speech or audio mandatory?
No, prior experience with speech or audio is listed as a bonus rather than a strict requirement.
What does Speak do as a company?
Speak builds an AI-powered language tutoring application designed to provide conversation-first experiences, instant feedback, and structured lessons for learners worldwide.