Do you want to create positive change in the largest industry on our planet? Some of the most exciting, and often overlooked, opportunities to tackle our biggest environmental challenges lie in changing the way we build!
At Modulize, we believe that the key to sustainable construction lies within offsite construction, and it is our mission to build world class solutions that make more modern ways of building a no brainer! To achieve this, we are developing AI based tools to simplify design, planning and procurement in building projects looking to maximise the benefit of offsite construction!
In this role, you will be working with our team of Full Stack, Data, and Machine Learning Engineers, to build a leading edge product that will challenge how we think about the possibilities in construction.
We have just closed a significant fundraise from international VCs and this role will be part of a significant growth period across all teams. You will get to work on some of the most complex problems we can solve in a browser, including modelling and analysing complex 3D building designs.
The construction industry is at an inflection point and the opportunities to push the largest industry on the globe into the digital age are tremendous. At Modulize we want to dare you to think big, take ownership of challenges alongside your team and and take your intellectual curiosity out into the complex world of construction.
Above all, we are looking for great people who are hungry to help us build a product that will change the biggest industry on the globe for the better. For this role, we would also love to see the following:
Preferably Masters degree or higher in maths, physics, computer science, or similar (equivalent work experience is just as great)
The ability to write code for production environments
Skills in math, geometry, signal processing, data processing and/or machine learning, as well as software development across the stack.
Experience working in, and deploying to, production environments
Enthusiasm around software development or other forms of building, that also extends outside of work or study program
Experience and interest in solving very hard problems
Out technology stack includes AWS, Python, React, three.js and FastAPI, so experience with some or all of these is a major plus.
To continue developing Modulize we're looking for a Machine Learning Engineer to join our team. You will be responsible for designing and developing Machine Learning solutions for production environments, taking the lead on the team for all things ML! You will get to shape our product from day one, and as one of the earliest team members you will do the same for the whole company. As part of your work, you will
Develop and shape a complex technology stack from an early stage
Develop machine learning models to improve our understanding of 2D and 3D building models
Solve difficult geometry problems that will create major boosts in construction efficiency
Understand the customer needs build the technology that solves their problems
Work across the technology stack and learn new things
Please note that this role is based in Oslo, Norway. We have a hybrid setup and work from home when we need to, but also love spending time together in the office!
What we offer
At Modulize we want to build a bold, open, and empathetic environment, where everyone can thrive and get real joy out of doing their best work. You will get:
A competitive salary
Equity in the company
A central office in one of the best cities in the world
Laptop & equipment
Social activities with the team
And most importantly, we work hard for everyone in our team to grow alongside the company!
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.
Social gatherings and games; hang out with your colleagues.
Easy access and treehugger friendly workplace.
Want to be a partner? Look no further.
Your local office is your anchor point, thus, we placed it centrally at your convenience.