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ML Engineer at Stealth-Mode Ed-Tech startup

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  • Remote
  • fulltime
  • National Minimum Wage
  • -
  • Be part of the team that fixed language learning for 1.8 billion learners.

    Here's the deal:

    • We are building the next generation of language learning, made for anyone with access to the internet.
    • We started a year ago, with a lot of research, with now a product running in closed beta with an early, but healthy traction.
    • We are customer-centric and have a bias for action.
    • You would work on ML problems, one of the most critical roles for our mission to remove language barriers.
    • Apply if you're in the UK and intrigued by helping people out there transform their lives.

    You're going to like working with is if...

    • You own the solutions you build. You can explain clearly why you believe it will address the related problem, not just ship code.
    • You need minimal guidance to come up with creative solutions to problems and you ask for help when you lack context.
    • You take a thoughtful approach to decision making, and at least on the technical side, you know when to move fast, and when to slow down and do things right. Attend customer discovery with the founding team to validate our understanding of the pains of our users.
    • You are serious about data, experimentation, and data-driven decision-making.

    What your day is going to look like

    • Shipping solutions to prioritised and defined ML problems.

    Here's what the interview process is going to look like

    1. Send us your resume and say hi 👋 More than your degrees or certificates, we would love to hear your thoughts on the problem we're tackling and why you think you would be a good fit! We also love looking at things you have built/designed in the past. 

    2. Chat with us

      The goal is to get to know each other, and for us to tell you more about what we're building.

    3. Design thinking and portfolio review The goal is to understand how you approach problem-solving and ideating with a teammate. It's also a way for you to make sure you're aligned with how we think about product building. We know this might be your first job, so we'll talk about university-related projects.

    4. Behavioural interview The goal is to better understand how you work, think, and react.

    5. We typically call one or two people you've worked with In the early days of a start-up, our biggest strength is the team so there's not much room for mistakes there 😬 We'll want to talk to one or two of your professors, or colleagues if you have worked before.

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