CoLearn
https://colearn.idAbout
CoLearn is a EdTech platform that is improving the way students learn in Indonesia. Our platform empowers tuition centers and tutors to create engaging and interactive online learning experiences for their students. Our mission is to improve education standards for Indonesia's youth and make the country globally competitive.
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Jobs at CoLearn
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Javascript
Angular (2+)
React.js
AngularJS (1.x)
Vue.jsAbout the Company
- 💰 Early-stage, ed-tech, funded, growing, growing fast.
- 🎯 Mission Driven: Make Indonesia competitive on a global scale.
- 🥅 Build the best educational content and technology to advance STEM education
- 🥇 Students-First approach
- 🇮🇩 🇮🇳 Teams in India and Indonesia
Skillset 🧗🏼♀️
- You primarily identify as a Frontend Engineer or a UI Engineer and are comfortable working on the browser side of things with 7+ years experience (preferably from B2C startup companies).
- You can build accessible interfaces with semantic HTML, CSS, and Javascript.
- You can build reusable, performant, and well-tested web applications that are responsive and work across various devices and platforms.
- You can build features from scratch which are modular and scalable. You don’t hesitate to take them from design to implementation.
- You have shipped code to production recently and regularly.
- You are experienced in working with using modern web frameworks, like React, Vue, and friends. We use React but prefer people with strong web concepts and fundamentals who are open to learning any framework/library.
- You are fluent in using the tools of the trade: editors, git, command line, Slack, Jira (unfortunately yes)
- You are driven, you care about turning in quality work, and improving your craft.
- You have high integrity, and you are reliable.
What you can expect from us 👌🏼
☮️ Mentorship, growth, great work culture
- Mentorship and continuous improvement are a part of the team’s DNA. We have a battle-tested robust growth framework. You will have people to look up to and people looking up to you.
- We are a people-first, high-trust, high-autonomy team.
- We live in the TDD, Pair Programming, First Principles world
🌏 Remote done right
- Distributed does not mean working in isolation, feeling alone, being buried in Zoom calls.
- Our leadership team has been WFH for 10+ years now and we know how remote teams work. This will be a place to belong.
- A good balance between deep focussed work and collaborative work ⚖️
🖥️ Friendly, humane interview process
- 30-minute alignment check and screening call
- A short take-home coding assignment, no more than 2-3 hours. Time is precious.
- Pair programming interview. Collaborate, work together. No sitting behind a desk and judging.
- In-depth engineering discussion around your skills and career so far.
- System design and architecture interview for senior roles.
What we ask from you👇🏼
- Bring your software engineering — both individual brilliance and collaborative skills.
- Bring your good nature — we're building a team that supports each other.
- Be vested or interested in the company vision
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Docker
Kubernetes
GitAbout the Company
- 💰 Early-stage, ed-tech, funded, growing, growing fast
- 🎯 Mission Driven: Make Indonesia competitive on a global scale
- 🥅 Build the best educational content and technology to advance STEM education
- 🥇 Students-First approach
- 🇮🇩 🇮🇳 Teams in India and Indonesia
Skillset 🧗🏼♀️
- You primarily identify as a DevOps/Infrastructure engineer and are comfortable working with systems and cloud-native services on AWS
- You can design, implement, and maintain secure and scalable infrastructure delivering cloud-based services
- You have experience operating and maintaining production systems in a Linux based public cloud environment
- You are familiar with cloud-native concepts - Containers, Lambdas, Orchestration (ECS, Kubernetes)
- You’re in love with system metrics and strive to help deliver improvements to systems all the time
- You can think in terms of Infrastructure as Code to build tools for automating deployment, monitoring, and operations of the platform
- You can be on-call once every few weeks to provide application support, incident management, and troubleshooting
- You’re fairly comfortable with GIT, AWS CLI, python, docker CLI, in general, all things CLI. Oh! Bash scripting too!
- You have high integrity, and you are reliable
What you can expect from us 👌🏼
☮️ Mentorship, growth, great work culture
- Mentorship and continuous improvement are a part of the team’s DNA. We have a battle-tested robust growth framework. You will have people to look up to and people looking up to you
- We are a people-first, high-trust, high-autonomy team
- We live in the TDD, Pair Programming, First Principles world
🌏 Remote done right
- Distributed does not mean working in isolation, feeling alone, being buried in Zoom calls
- Our leadership team has been WFH for 10+ years now and we know how remote teams work. This will be a place to belong
- A good balance between deep focussed work and collaborative work ⚖️
🖥️ Friendly, humane interview process
- 30-minute alignment check and screening call
- A short take-home coding assignment, no more than 2-3 hours. Time is precious
- Pair programming interview. Collaborate, work together. No sitting behind a desk and judging
- In-depth engineering discussion around your skills and career so far
- System design and architecture interview for seniors
What we ask from you👇🏼
- Bring your software engineering — both individual brilliance and collaborative skills
- Bring your good nature — we're building a team that supports each other
- Be vested or interested in the company vision
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Machine Learning (ML)
Data ScienceAbout the Company
- 💰 Early-stage, ed-tech, funded, growing, growing fast.
- 🎯 Mission Driven: Make Indonesia competitive on a global scale.
- 🥅 Build the best educational content and technology to advance STEM education
- 🥇 Students-First approach
About the People
- ❤️ Love what we do
- 🎮 Committed to making learning fun, accessible, and safe
- 🤝 Teams are better. We value ownership, responsibility, transparency
- 🌏 Global, diverse backgrounds. Been there, done that.
What does it look like one year from now?
- CoLearn has grown so much, and you’ve been an important part of the growth. You solved hard problems that many didn’t know existed.
- You’ve led the data science function and laid out the roadmap, implemented best practices, and grown the team. You’ve executed mission-critical projects. Congratulations!
- You’re exploring what Data Science can do for the students, parents, teachers, educators.
- You’ve been speaking at Data Science conferences about the image recognition system we built from scratch. You casually threw in the semantic search engine on slide 77.
- The engineering and product teams are your friends. The teams take cross-functional collaboration, testing, and modeling for granted. It’s their second nature.
- You have an encyclopedic knowledge of CoLearn’s data structures and metrics, and you’ve often provided key ideas for the product.
About you
- Highly-skilled and experienced Data Scientist and leader
- You are interested in creating next-gen data-powered education tech products.
- You’ve worked in a Data Science role before where you took a data product to market
- You are comfortable working with unknowns, evaluating the data, and applying scientific techniques to business problems and products
- You’ve built platforms and systems from scratch
- You have a track record of developing and deploying data-science models to production
Let’s talk tech
- End-to-end AI/ML systems in the cloud, including data processing, feature engineering, and tuning of ML models in training and production (MLOps) — with both structured and unstructured data.
- Deep Learning and Computer Vision models, ideally in a production environment
- Hands-on Python/SQL, scikit-learn, Keras, PyTorch, Tensorflow, MXnet, etc.
- Experience in Scala/Java/Go/C/C++ is a plus plus
- Airflow/Luigi/Oozie and the likes
- Familiarity with cloud deployment strategies (AWS/GCP) to deploy at scale
Track record
- B.S./B.E./M.S./PhD in a quantitative field such as Computer Science, Engineering, Math, Statistics or equivalent years of experience
- 10+ years of experience in data science, algorithmic engineering, and machine learning. Preferably solved problems from scratch to scale
- Experience in hiring, managing highly-performant teams, and mentoring data science, data engineering, and analytics teams
- Experience developing a data science strategy, building the roadmap, and leading the execution
- Track record of recruiting talent in analytics and data science
You will make us go 😍 if:
- You’ve won algorithm and machine learning competitions such as ACM and Kaggle
- You have research publications and citations in top tier journals
- You have a portfolio of side projects and can show it to us
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