Applied ML Manager

ABOUT US

Our mission is to reinvent the way people learn, starting with language.

Learning a language can change a life by opening doors to new cultures, careers, and communities. Two billion people around the world are actively trying to learn a language, but the best way to learn (one-on-one tutoring) is hard to access at scale and hasn’t been meaningfully improved in decades. Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons. The result is a complete path from beginner to confident speaker across multiple languages.

Speak first launched in South Korea in 2019, where Speak has now become the number one language learning app, and we now serve learners across many markets and 15+ languages. Speak is one of the world’s leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.

ABOUT THIS ROLE

We’re looking for an ML Manager to lead our ML team (currently 4 people across voice ML and broader ML systems) and raise the bar on execution, measurement, and strategy.

This is a hands-on manager role: you’ll be the line manager for the team, partner closely with Andrew to set direction and ambition, and help us consistently ship ML improvements that move product metrics. You’ll also help us expand and pressure test our strategy as new modeling approaches emerge (for example, speech-to-speech), while keeping the team focused on high-impact bets.

WHAT YOU’LL BE DOING

• Manage and grow the ML team through clear expectations, regular feedback, and strong coaching.

• Define quarterly ML goals and success metrics, establish baselines, and build a visible “scoreboard” for progress.

• Drive end-to-end execution on key ML initiatives: planning, evaluation, iteration, rollout, and impact measurement.

• Build a repeatable model evaluation and experimentation process (quality, performance, reliability), including rollout criteria.

• Partner with Product and Engineering leaders to align roadmaps, clarify ownership, and ensure ML work is shippable and predictable.

• Identify gaps in our current ML strategy, propose concrete bets, and translate direction into actionable plans.

• Help hire thoughtfully as the team grows, without prematurely scaling into a large org.

WHAT WE’RE LOOKING FOR

• 8–10+ years overall experience in applied ML, with a track record of shipping ML and LLM systems into production.

• 4+ years people management experience, including leading 1:1s, giving feedback, and handling performance.

• Strong technical judgment in applied ML (not primarily ML infra/MLOps), including ability to define and run rigorous evaluations.

• Excellent metric sense and analytical thinking: can translate ambiguous goals into measurable outcomes and make tradeoffs.

• Strong cross-functional collaboration skills with Product, Engineering, and Design.

• Clear written communication: can write crisp strategy docs, decision memos, and goal docs.

• Bonus: speech/audio, linguistics, or multimodal experience.

WHY WORK AT SPEAK

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.