Applied ML Engineer, LLM

A superhuman, AI-powered language tutor in your pocket
$140,000 - $250,000
Machine Learning
Staff Software Engineer
In-Person
51 - 100 Employees
6+ years of experience
AI · Education

Description For Applied ML Engineer, LLM

Speak is revolutionizing language learning through AI technology, having recently achieved a $1B valuation with their Series C funding. As an Applied ML Engineer focusing on LLMs, you'll be at the forefront of developing AI-powered language learning experiences that serve users across 40+ countries. The company has established itself as the top-grossing education app in South Korea and is rapidly expanding globally.

The role involves working on cutting-edge LLM applications in language learning, building personalized lesson systems, and developing knowledge graphs to track learner progress. You'll collaborate closely with content and product teams to create innovative learning experiences and improve assessment mechanisms through synthetic evaluators.

Speak is backed by prestigious investors including Accel, OpenAI, Founders Fund, and Y Combinator. With offices in San Francisco, Seoul, Tokyo, and Ljubljana, the company offers a truly global work environment. The team of 90+ is focused on making language learning accessible to millions, particularly in English, Spanish, and French education.

This position offers an opportunity to make a significant impact on the company's direction during a period of rapid growth. The work environment emphasizes craft, personal growth, and collaboration with admirable colleagues. You'll be joining at a crucial time when individual contributions can substantially influence the company's trajectory.

The role requires strong experience in machine learning engineering, particularly with LLMs, and the ability to think creatively about AI-powered product experiences. You'll be part of a mission to solve the fundamental challenge of language learning - providing consistent conversation practice without requiring a human partner.

Last updated 13 hours ago

Responsibilities For Applied ML Engineer, LLM

  • Collaborate with Content team to build Knowledge Graph for tracking learner progress
  • Build new types of dynamically-generated personalized lessons
  • Work with Product team to enhance AI-powered lessons and learning features
  • Improve assessment and monitoring of prompts via synthetic evaluators

Requirements For Applied ML Engineer, LLM

  • 3+ years experience as a machine learning engineer shipping ML systems into production
  • Experience working with LLMs and strong LLM intuition
  • Strong product interest and sense
  • Ability to think broadly about novel LLM-powered capabilities and product experiences

Benefits For Applied ML Engineer, LLM

  • Global offices in San Francisco, Ljubljana, Seoul, and Tokyo
  • Opportunity for international travel
  • Well-funded with recent Series C funding
  • Work with top investors including Accel, OpenAI, Founders Fund, Y Combinator
  • Tight-knit team culture
  • Significant impact on company direction

Interested in this job?

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