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

Requirements

• 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

Benefits

• 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 pledge1percent.org 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