AddressMathspace 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
Requirements
- 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
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
