MISSION:
- Implement a machine learning algorithm that creates floorplan layouts automatically inside a given shape.
There has been some research around this topic and there is existing literature.
YOUR COMPETENCES:
- math (geometry and numerical analysis)
- machine learning
- computational complexity theory
- python / pytorch / sklearn
YOUR RESPONSIBILITIES:
- participating in the creation of a tool that changes the way we build new flats
- creating research road maps with budgeting
- staying up to date with state of the art machine learning technology
- conducting research that will lead to improvement of algorithms currently being used
- develop quantitative benchmarks that will help evaluate quality of algorithms
- proactively seek opportunities to improve various aspects of our business by applying scientific approach
QUALIFICATIONS:
You need to have a Masters from an outsdanding university or a PhD to apply to this position.
HOW TO APPLY:
Please explain in a few sentences how you intend to implement the algorithm.
We are a startup with ambition, and therefore flexible on working conditions but demanding on the quality of work.
Daily meetings at 10AM UTC. There will be technical tests.
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