Applied ML Engineer, Speech

Speak is looking for an experienced Machine Learning Engineer to join their team and help develop cutting-edge phoneme recognition models to provide learners with effective pronunciation feedback. The role involves taking ownership of the end-to-end modeling pipeline, from training and experimentation to deployment and monitoring. You'll work closely with Product teams to design innovative learning experiences and measure the efficacy of production models as they affect end users. As part of a small, dynamic team, you'll likely contribute as a developer and thought partner on broader team projects like ASR, assessment, content personalization, and more.

Key responsibilities include:

• Training and deploying phoneme recognition models end-to-end
• Expanding the Pronunciation Coach to provide precise feedback
• Tracking metrics to measure performance of existing phoneme models across markets
• Building out an assessment system for pronunciation, intonation, and prosody
• Building and maintaining data infrastructure
• Supporting the broader Speech & ML team

Requirements:

• Extensive experience training and deploying custom deep learning models to production (audio/speech experience preferred)
• Proficiency in Python and common Deep Learning frameworks like PyTorch
• Strong communication skills and ability to explain complex ML concepts
• Sharp product sense and cross-functional thinking
• 4 - 10 years of industry experience

Speak offers a unique opportunity to join a fast-growing team with recent Series B funding, work on a global product available in over 40 countries, and make a significant impact on language learning for millions of people worldwide. The company values craft, growth, and working with admirable colleagues in a tight-knit team environment.

Speak does not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, disability, or other legally protected characteristics.