Machine Learning Engineer

March 19

Mathspace

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We believe that EVERY student can excel at mathematics with the right help at the right time.

Mathematics • Education • engineering • EdTech • Education Technology

51 - 200

Description

• 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 optimizing 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