Job Description
At Emapta, saying We're a Family means we're also your second home at work, and our ratings prove it!
4.5 GLASSDOOR RATING
4.5 FACEBOOK RATING
93% CANDIDATE REFERRAL
Our goal is to build your local careers with global impact, so you can achieve your ambitions and full potential without the need to work abroad.
- 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 optimizing 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 remote work policy (need some timezone overlap
with our Sydney team)
- 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