Applied ML Engineer, Speech
Speak LLC
About us Our mission is to reinvent the way people learn, starting with language. We begin by teaching the next billion people English, Spanish, and French. English is the global language of business, culture, and communication, and over 1.5 billion people around the world are actively trying to learn right now. Others dream of communicating with the half-billion native Spanish speakers across the globe. The problem is that it's nearly impossible to learn tospeaka language without constant access to a speaking partner. Grammar and vocab apps don't really help – you need to actuallyconversewith someone. Speak is on a journey to fix this. We're creating an AI-powered experience that replicates the flow of a conversation,withoutneeding 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 five 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. Speak launched first in South Korea where we have quickly grown to become the top grossing education app in the country. We have now delivered this winning product to more than 40 countries globally and are continuing to expand to more markets in the coming months. The company is well funded, and as of December 2024, we've reached a $1B valuation with our Series C round, through key partners like Accel, OpenAI, Founders Fund, Y Combinator, Khosla Ventures, Lachy Groom, Josh Buckley, and more. We’re a team of more than 90 based throughout San Francisco, Seoul, Tokyo, Taipei, and Ljubljana. About this role We are looking for an experienced Machine Learning Engineer to join our team and help develop cutting-edge speech recognition models that help teach language fluency. 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. We are a small, dynamic team where you will contribute as a developer and thought partner on team projects like ASR, assessment, pronunciation, content personalization, and much more. This is an incredibly exciting time to join an ML team designing a personalized learning experience that will revolutionize language learning for millions of learners worldwide — come join us! What you'll be doing Training and deploying ASR models end-to-end, including monitoring, performance tracking, and retraining Improving the pronunciation model that provides precise feedback, and make it more central to our learning app Creating metrics to measure ASR performance across tasks and languages Expanding our ASR systems to new languages and markets Building and maintaining data infrastructure such as training/evaluation datasets and labeling pipelines What we're looking for Extensive experience training large models on GPUs and deploying custom deep learning models Proficiency in Python and common Deep Learning frameworks like PyTorch Demonstrated experience owning ML pipelines end to end, from POC to production 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 with speech or audio Office San Francisco, CA Why work at Speak Join a fantastic, tight-knit team at the right time:we're growing very quickly, we've most recently raised our Series C 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. Speak does not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. #J-18808-Ljbffr Speak LLC
- ...We are looking for an experienced Machine Learning Engineer to join our team and help develop cutting-edge speech recognition models that help teach language fluency... ...more. This is an incredibly exciting time to join an ML team designing a personalized learning experience...SuggestedLive inWork at officeWorldwide
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...Partner 20, Applied ML, Engineer, ASG San Francisco, California, United States Founded in Silicon Valley in 2009 by Marc Andreessen and Ben Horowitz, Andreessen Horowitz (aka a16z) is a venture capital firm that backs bold entrepreneurs building the future through...Work at office2 days per week3 days per week$200k
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...deploying high-throughput, ultra-low-latency inference engines for large language models or foundational speech models. Understand the intricate tradeoffs... ...will sit at the critical intersection between the core ML training team and the backend infrastructure team....Full timeWork at officeWorldwide- Gravity Engineering Services Pvt Ltd. is seeking a Research Engineer for its Applied Voice Team in San Francisco. This role focuses on designing and building advanced speech models, applying cutting-edge AI research to practical applications. Collaboration with cross-functional...
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...Join to apply for the Founding ML Research Engineer - Training Infrastructure role at Kalpa Labs (YC F25) This range is provided by Kalpa Labs (YC... ...training infrastructure for training some of the largest speech models in the world. You’ll own the training stack end...Full time- ...Customer Support startup with their search for senior/staff ML research engineers. The role will be onsite in their SF office. What you'll... ...DPO, PPO, GRPO Nice to haves: Experience with voice/speech Experience working with large open source LLMs Prior experience...Work at office
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...Machine Learning Engineer - Speech Model Training $250,000 - $300,000 San Francisco, CA... ...performance with vLLM, TensorRT-LLM, or SGLang Apply RL alignment techniques to improve... ...Genuine comfort traversing the entire ML stack from signal processing to production...Permanent employmentFull timeWork at officeImmediate startWorldwide- ...experience in language models and data generation pipelines. The position offers competitive compensation, including equity, health benefits, and unlimited PTO, making it an excellent opportunity to shape applied audio AI in a fast-growing company. #J-18808-Ljbffr Liquid AI
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...leadership can rely on. Possess strong software engineering skills (especially in Python) and have... ...live model checkpoints. Can deeply partner with ML researchers to define exactly what "good" looks like for a Speech LLM, translating capabilities (like ASR robustness...Full timeWork at officeWorldwide$308k - $423.5k
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