Materra, the team that works on recycling plastic waste. From what I could tell, they do a lot of image detection, identifying waste material at the molecular level and then recycling and remanufacturing it, which sounds really cool.
The whole team is PhD engineers and every one of them seems very smart. It felt like a startup / research environment.
It was an ML Data Engineer role, and it seemed to demand a lot of pandas / array / numpy / image processing. I've been writing PySpark for the past three years and haven't touched pandas or numpy in a long time, so my prep wasn't very thorough.
45 min hiring manager chat
- Walk me through a data system you're proud of
- How do you deal with data scalability issues?
- When choosing between different tech stacks, how do you usually make the decision?
- What's your experience working with different stakeholders?
- What's your experience working with messy data?
45 min technical interview
The problem was a bit hard to understand. At first I didn't get what these 2D arrays were even for. The interviewer told me to plot an image in Python to look at the data distribution, and then guided me step by step through the data cleaning.
I got a rejection email half an hour after the interview ended.
Good luck to everyone job hunting, hope you all get lots of offers!!
Discussion
Loading comments…