A superhuman, AI-powered language tutor in your pocket

**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 to *speak* a language without constant access to a speaking partner. Grammar and vocab apps don't really help – you need to actually *converse* with someone.

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.

As an MLE at Speak, you'll play a pivotal role in developing the future of language learning and creating the most effective path to language fluency. Your primary responsibility will be to spearhead new proofs-of-concept and experiment creatively to help push the boundaries of truly personalized language learning.

Your tasks will span the entire ML lifecycle, from ideation and experimentation to implementation and deployment. You'll bring the rigor of ML applied research to building out novel LLM product experiences to create new lesson types, to improve assessment/feedback, and to provide a continuously personalized learning experience to users.

We're constantly pushing the boundaries of what LLMs can do to provide an exceptional and unparalleled language learning experience to users in over 30 countries worldwide.

**Why work at Speak:**

1. **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.

2. **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.

3. **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.

4. **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.

Senior ML Engineer role at Speak, focusing on developing AI-powered language learning experiences using LLMs

Applied ML Engineer, LLM

**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 to *speak* a language without constant access to a speaking partner. Grammar and vocab apps don't really help – you need to actually *converse* with someone.

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 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.

As an Android Engineer on Speak's engineering team, you will be responsible for a variety of features including improving how we serve our content, run A/B tests on monetization features, support launching of new markets and new languages. You will collaborate closely with backend engineers and our partners in Product and Design. You'll be responsible for shipping product features to millions of users.

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.

**Why work at Speak:**

1. **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.

2. **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.

3. **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.

4. **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.

Senior Android Engineer position at Speak, developing AI-powered language learning features and working on mobile app development.

Senior Android Engineer

AI-powered language tutor app helping people learn English, Spanish, and French through conversational practice

Speak is revolutionizing language learning through AI-powered conversation technology. As an Applied ML Engineer focused on Speech, you'll join a mission-critical team developing cutting-edge speech recognition models to help millions achieve language fluency.

The role involves end-to-end ownership of ML pipelines - from training and experimenting with ASR models to deployment and monitoring. You'll work closely with Product teams to design innovative learning experiences and measure model efficacy. Key responsibilities include improving pronunciation feedback systems, creating cross-language ASR performance metrics, expanding to new languages, and building robust data infrastructure.

We're looking for someone with extensive experience training large models on GPUs and deploying custom deep learning models. You should be proficient in Python and frameworks like PyTorch, with demonstrated success owning ML pipelines from POC to production. Strong communication skills are essential as you'll need to explain complex ML concepts to non-technical stakeholders.

The company has achieved significant milestones - becoming the top grossing education app in South Korea, expanding to 40+ countries, and reaching a $1B valuation with our Series C round backed by Accel, OpenAI, Founders Fund, Y Combinator and others. With offices in San Francisco, Ljubljana, Seoul, and Tokyo, we offer a truly global opportunity to impact millions of language learners worldwide.

This is an exciting time to join as we scale our AI capabilities and expand to new markets. You'll be part of a tight-knit team where individual contributors can significantly influence the company's direction. We value craft, growth, and working with people we admire. The mission is meaningful - helping the 99% of language learners who currently struggle to achieve their goals due to lack of conversation practice.

We're looking for someone who combines technical excellence with product intuition - someone who can think broadly about model quality in the context of user experience. If you're excited about applying cutting-edge ML to help millions learn languages more effectively, we'd love to talk.

Applied ML Engineer position at Speak, developing speech recognition and language learning AI models

Applied ML Engineer, Speech

Speak is revolutionizing language learning through AI technology, having recently achieved a $1B valuation with their Series C round. As an AI Product Engineer, you'll be at the forefront of developing innovative language learning solutions powered by Large Language Models (LLMs).

The role combines full-stack engineering with AI/ML expertise, focusing on creating and enhancing LLM-powered features that serve millions of users across 40+ countries. You'll be working on conversational onboarding, lesson experiences, grammatical assessment, and personalized learning systems.

The company has strong backing from prestigious investors including Accel, OpenAI, Founders Fund, Y Combinator, and Khosla Ventures. With a team of 90+ spread across global offices in San Francisco, Seoul, Tokyo, Taipei, and Ljubljana, you'll be part of an international environment making a real impact on how people learn languages.

The ideal candidate brings 3-5+ years of full-stack engineering experience, strong product intuition, and a passion for AI/ML technologies. Experience with LLM applications and operations is highly valued. You'll work independently while collaborating with cross-functional teams including Engineering, Applied ML, Product, Design, and Content.

This is an opportunity to join at a pivotal time - post product-market fit and during rapid growth - where individual contributions can significantly influence the company's trajectory. The role offers the chance to work on meaningful technology that helps millions achieve language fluency, with competitive compensation ranging from $140K to $250K.

Working at Speak means joining a thoughtfully curated team that values craft and growth, with the opportunity to make a lasting impact on global education through cutting-edge AI technology. The company maintains a strong focus on product quality and user impact, with their app already achieving top grossing status in the education category in South Korea.

AI Product Engineer role at Speak, developing LLM-powered language learning products and features for a rapidly growing edtech startup.

Speak Engineering Jobs

A superhuman, AI-powered language tutor in your pocket