Applied ML Engineer, LLM

A superhuman, AI-powered language tutor in your pocket
$140,000 - $250,000
Machine Learning
Staff Software Engineer
In-Person
11 - 50 Employees
6+ years of experience

Description For Applied ML Engineer, LLM

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.

What you'll be doing:

  • Collaborating with the Content team to build out a Knowledge Graph to measure and track learner progress over time in Vocab, Grammar, and Pronunciation
  • Building new types of dynamically-generated personalized lessons to teach to each individual learner's strengths and weakness
  • Working closely with the Product team to enhance our AI-powered lessons and learning features
  • Improving the assessment and monitoring of our prompts via synthetic evaluators

What we're looking for:

  • 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/cross-functionally about novel LLM-powered capabilities and product experiences

Why work at Speak:

  1. Join a fantastic, tight-knit team at the right time: We're growing very quickly, we've raised our Series B and an additional extension 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.

Last updated 5 months ago

Responsibilities For Applied ML Engineer, LLM

  • Collaborating with the Content team to build out a Knowledge Graph to measure and track learner progress over time in Vocab, Grammar, and Pronunciation
  • Building new types of dynamically-generated personalized lessons to teach to each individual learner's strengths and weakness
  • Working closely with the Product team to enhance our AI-powered lessons and learning features
  • Improving the assessment and monitoring of our prompts via synthetic evaluators

Requirements For Applied ML Engineer, LLM

Python
  • 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/cross-functionally about novel LLM-powered capabilities and product experiences

Benefits For Applied ML Engineer, LLM

Equity
  • Equity
  • Opportunity for significant impact
  • Global work environment
  • Chance to work with cutting-edge AI technologies

Interested in this job?

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