Speak
Applied ML Engineer, Speech and Language
Speak, San Francisco, California, United States, 94199
[Full Time] Applied ML Engineer, Speech and Language at Speak (United States) | BEAMSTART JobsApplied ML Engineer, Speech and Language
Speak United StatesDate Posted: 29 Jun, 2023Work Location: San Francisco, United StatesSalary Offered: Not SpecifiedJob Type: Full TimeExperience Required: 6+ yearsRemote Work: NoStock Options: NoVacancies: 1 availableAbout us
Our mission is to become the de facto way people learn foreign languages. We begin by teaching the next billion people English and Spanish.Speak is on a journey to fix this. We're creating an AI-powered experience that replicates the flow of a conversation, without needing a human on the other end. The goal is to make it radically more accessible to be able to have conversations in a foreign language and eventually help hundreds of millions of people gain fluency who otherwise wouldn't be able to.We started on this journey over four years ago and we've still got a long ways to go. We're thoughtfully adding new team members only when we think they can truly play a big role in our mission.About this role
We are looking for an experienced Machine Learning Engineer to join our team and help develop cutting-edge phoneme recognition models to provide learners with effective pronunciation feedback. In this role you will take ownership of the end-to-end modeling pipeline, from training and experimentation to deployment and monitoring. 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.What you'll be doing
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).What we're looking for
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.Bonus
Experience in speech or phoneme recognition.Why work at Speak?
Join a fantastic, tight-knit team at the right time:
we're growing super quickly, we just raised our Series A from some of the top investors in the valley, and we've achieved product-market fit.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.Global in nature:
We're live in South Korea and Japan, and launching in a number of new markets soon.Impact people's lives in a major way:
Learning a language is one of the single most life-changing skills one can learn.About Speak
A superhuman, AI-powered language tutor in your pocket
Company Size:
11 - 50 PeopleYear Founded:
Not SpecifiedCountry:
United StatesCompany Status:
Actively Hiring
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Speak United StatesDate Posted: 29 Jun, 2023Work Location: San Francisco, United StatesSalary Offered: Not SpecifiedJob Type: Full TimeExperience Required: 6+ yearsRemote Work: NoStock Options: NoVacancies: 1 availableAbout us
Our mission is to become the de facto way people learn foreign languages. We begin by teaching the next billion people English and Spanish.Speak is on a journey to fix this. We're creating an AI-powered experience that replicates the flow of a conversation, without needing a human on the other end. The goal is to make it radically more accessible to be able to have conversations in a foreign language and eventually help hundreds of millions of people gain fluency who otherwise wouldn't be able to.We started on this journey over four years ago and we've still got a long ways to go. We're thoughtfully adding new team members only when we think they can truly play a big role in our mission.About this role
We are looking for an experienced Machine Learning Engineer to join our team and help develop cutting-edge phoneme recognition models to provide learners with effective pronunciation feedback. In this role you will take ownership of the end-to-end modeling pipeline, from training and experimentation to deployment and monitoring. 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.What you'll be doing
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).What we're looking for
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.Bonus
Experience in speech or phoneme recognition.Why work at Speak?
Join a fantastic, tight-knit team at the right time:
we're growing super quickly, we just raised our Series A from some of the top investors in the valley, and we've achieved product-market fit.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.Global in nature:
We're live in South Korea and Japan, and launching in a number of new markets soon.Impact people's lives in a major way:
Learning a language is one of the single most life-changing skills one can learn.About Speak
A superhuman, AI-powered language tutor in your pocket
Company Size:
11 - 50 PeopleYear Founded:
Not SpecifiedCountry:
United StatesCompany Status:
Actively Hiring
#J-18808-Ljbffr