Machine Learning Engineer

Machine Learning Engineer

Mathspace is on a mission to change maths education, by helping students and teachers with smarter, interactive learning software.

We’re an agile run, product-orientated company that focuses on delivering value through continual customer feedback, enabling students and teachers to have a delightful experience through learning mathematics.

As an ML engineer working on a research-oriented product team, you will:

  • Work closely with our R&D product manager and data scientist
  • Improve the ML systems that include diagnosing student ability, estimating student knowledge profiles and recommending appropriate topics
  • Enrich the Mathspace web and mobile apps that help teach hundreds of thousands of students every month across the world
  • Collaborate with fellow engineers to deliver meaningful value to students and teachers
  • Tackle difficult problems, solve them creatively and learn continuously
  • Play an active role, taking the initiative to get things done
  • Learn, develop and extend our tech stack
    • Python & Jupyter Notebook
    • Kotlin & Spring Boot
    • Aerospike
    • Kubernetes
  • Strong software engineering ability
  • Effective English communication skills
  • Strong knowledge of Python and Kotlin
  • Strong knowledge of implementing, training and testing ML systems
  • Strong knowledge of optimising real-time ML algorithms for production use
  • Dedicated to learning and sharing new ideas
  • We provide the necessary equipment: MacBook Pro & monitors
  • We have a highly flexible work-from-home policy
  • We offer a yearly stipend for training & education expenses
  • We partner with to donate 1% of time, product and profit to help nonprofits in our community
    • We will offer you 2.5 paid days per year to volunteer with the charity of your choice
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