Full-Time

Applied ML Engineer

Speak

Speak

51-200 employees

AI-powered English tutoring app with conversational practice

AI & Machine Learning
Education

Junior, Mid, Senior

San Francisco, CA, USA

Required Skills
Python
Pytorch
Requirements
  • Extensive experience training and deploying custom deep learning models to production
  • Proficiency in Python and common Deep Learning frameworks like PyTorch
  • 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
Responsibilities
  • Training and deploying phoneme recognition models end-to-end, including monitoring, performance tracking, and retraining
  • Expanding Pronunciation Coach to provide precise feedback and integrate more broadly across the learning platform
  • Tracking metrics to measure performance of existing phoneme models across markets
  • Building out an assessment system to provide nuanced feedback on pronunciation, intonation, prosody, and more
  • Building and maintaining data infrastructure; i.e. audio data pipelines, training/evaluation datasets creation and management, labeling/active learning loop
  • Supporting the broader Speech & ML team (e.g. developing and localizing ASR models)

Speak is a rapidly expanding AI English tutoring company, recognized by Apple for its effective and engaging app, and backed by globally renowned investors such as Y Combinator and Open AI. The company's unique blend of advanced conversational speech recognition systems and consumer product expertise has resulted in a language learning experience that surpasses traditional human tutors. Testimonials from users highlight the app's focus on practical speaking skills, its ability to sustain user engagement, and its success in improving users' pronunciation and fluency, demonstrating Speak's industry leadership and competitive advantage.

Company Stage

Series B

Total Funding

$74.4M

Headquarters

San Francisco, California

Founded

2015

Growth & Insights
Headcount

6 month growth

23%

1 year growth

185%

2 year growth

344%

Benefits

Standard tech startup benefits

Stipends for commuting, fitness, & learning

Annual company offsite.