Interested in working on one of the world's largest problems? The $400 trillion pension problem is a big problem affecting all of us. You should also be very interested in making moving countries more transparent for this role
🚀 Our mission is to make it as easy to move countries as it is to book a flight ticket - helping people move cross border and save for retirements.
🙌 We have an open and friendly work environment: every person helps shape our culture
🌱 It's important for us that every individual in the team experiences personal growth
Be lead to gather +1M data points from people that move countries. We have around 1000 now, but growing at good solid pace.
Leverage public information like migrationdataportal.org
Get involved in the different parts of the Machine Learning life-cycle of our product.
Scrap web-data to feed our model and engineer new features to optimize our prediction.
Design the processing pipelines to format, clean and enrich our data-sets.
Design different ML/DL models for the different predictions challenges we have.
Test and evaluates our models using the adequate metrics.
The end goal is to inform users which countries they could move to the fastest and easiest.
The ideal candidate for us has:
Project management experience
Computer science background.
Experience with data science projects, end-to-end machine learning and deep learning.
Strong Knowledge of a variety of machine learning techniques (clustering, regression, decision trees and etc) and their real-world advantages/drawbacks.
Proficient in Python, SQL (as statistical and ML package tools).
Experience with Google Cloud, Apache Airflow and MLFlow.
We have not budgeted for this role for now. But for future sake, this role will be a very interesting a full-time position.
This job comes with several perks and benefits
Time is precious. Make it count. Morning person or night owl, this job is for you.
Get your caffeine fix to get you started and keep you going.
Easy access and treehugger friendly workplace.
Social gatherings and games; hang out with your colleagues.
Friday is something special, let's enjoy a beer together.
Want to be a partner? Look no further.