Applied ML Engineer
March 7
🏢 In-office - San Francisco
Description
• Extensive experience training and deploying custom deep learning models to production (experience with audio/speech strongly preferred) • 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 • Join a fantastic, tight-knit team at the right time: we're growing very quickly, we've raised our Series B and an additional extension 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. • Do your life's work with people you’ll love working with: we care strongly about our craft and want every person at Speak to feel like they're growing every day. We believe in the idea that working with people you both enjoy and have respect for makes everything better. We hire thoughtfully and only work with people we admire deeply. • Global in nature: We're live in over 40 countries and launching in a number of new markets soon. We have dedicated offices in San Francisco, Ljubljana, Seoul, and Tokyo, and you’ll have the opportunity to talk to users in each of these regions on a regular basis as well as travel. • Impact people's lives in a major way: Learning a language is one of the single most life-changing skills one can learn, and right now 99% of people never achieve their goal because the process is broken. We’re helping millions of people achieve their goals and improve their lives.
Requirements
• Training and deploying phoneme recognition models end-to-end, including monitoring, performance tracking, and retraining • Expanding our Pronunciation Coach to provide precise feedback and integrate more broadly across our 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)
Benefits
• Join a fantastic, tight-knit team at the right time: we're growing very quickly, we've raised our Series B and an additional extension 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. • Do your life's work with people you’ll love working with: we care strongly about our craft and want every person at Speak to feel like they're growing every day. We believe in the idea that working with people you both enjoy and have respect for makes everything better. We hire thoughtfully and only work with people we admire deeply. • Global in nature: We're live in over 40 countries and launching in a number of new markets soon. We have dedicated offices in San Francisco, Ljubljana, Seoul, and Tokyo, and you’ll have the opportunity to talk to users in each of these regions on a regular basis as well as travel. • Impact people's lives in a major way: Learning a language is one of the single most life-changing skills one can learn, and right now 99% of people never achieve their goal because the process is broken. We’re helping millions of people achieve their goals and improve their lives.
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