We’re people who like to build AI systems together
Check our job openingsWe’re not anthropologists, but we’ll try and explain our culture
We’re machine learning engineers, AI researchers, software developers, and data scientists. But first and foremost, we’re innovators.
We just like to try, everything. When we say that no ideas are too crazy for us, we mean it. But we have our feet on the ground (or hands on the keyboard, if you will). We explore new avenues, assess the achievability of a goal, research, and try it out. We work iteratively, piece by piece, to produce a concept, from idea to final product.
This mindset, of exploration and curiosity, is the foundation of how we work. We all stem from STEM, which means we have something in common: the urge to not take anything for what it seems to be. We encourage expanding our perspectives through machine learning breakfasts, journal clubs, book circles, hackathons, and spontaneous whiteboard sessions. Making “learning” the primary activity inside and outside of projects results in an equal team where your eagerness to learn, collaborate and develop speaks higher than any KPI.
The right place to develop your ML & AI skills
With challenging projects, daily stand-ups, whiteboard sessions, and ongoing discussions surrounding AI, we aim to support you with everything to expand your knowledge. We like to say that the more you know individually, the more we know collectively— a saying that rests on one strong foundation of our micro-culture; to share learnings.
Innovation thrives in teamwork
We always make sure to be at least two on every project because we’re firm believers in collaboration. By constantly working in teams, we help each other develop new areas, learn from each other, and share perspectives. We’re building an open and inclusive workplace where we rather say, let’s try it than no. Innovation flourishes in diversity; diversity of background, thought, and culture.
We say that Modulai is the place where we’ll excel within AI most rapidly, as engineers and as leaders within the field.
– Puya Sharif, Co-founder
ML learnings with Abgeiba Isunza Navarro
We are celebrating “Abgi,” and we wanted to check in on how her journey at Modulai has been so far.
One of the things that I like the most about working in machine learning is that you can apply ML to almost any field. Since I started working at Modulai, I have been able to work on many different projects.
ML learnings after two years at Modulai with Svante Sörberg
Svante originally joined Modulai as a master’s thesis student and have been with the company for over two years.
I have realized that the software engineering aspect of the job is more significant than I initially thought. I underestimated it and thought that the focus would only be on creating a Machine Learning model. However, in reality, there is a lot of work required to integrate the model with the client’s tech stack and legacy system to deliver value.
Greet and AI with Gustav Eklund
We talked to Gustav Eklund, senior machine learning engineer at Modulai, about how he got into ML, his previous experiences, and what he thinks about life at Modulai.
If you’re a student, take part of the valuable tips he shares by the end of the interview.
Like what you see? We always look for new talents, so lets talk!
