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Machine Learning Engineer

72% Flex
Full Remote
Full time
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Machine Learning Engineer

72% Flex
Remote: Full Remote
Contract: Full time
Work from: Australia

Offer summary

Qualifications: Strong software engineering skills with expertise in Python, Experience in developing ML systems.

Key responsabilities:

  • Collaborate on ML projects to enhance student learning
  • Troubleshoot and optimize ML algorithms for real-time use in education apps
Mathspace logo
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51 - 200 Employees

Job description

Logo JobgetherYour missions

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 product manager and infrastructure teams
  • 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
    • Aerospike
    • Kubernetes


  • Strong software engineering ability
  • Effective English communication skills
  • Strong knowledge of Python
  • 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
  • At least 4 hours overlap with Sydney 9am-6pm timezone


  • 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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Hard Skills
Soft Skills
  • Effective English communication
  • Continuous learning and problem-solving mentality

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