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 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