Senior Machine Learning Engineer
Introduction
Have you ever wanted to work on a mission-driven product that is trying to solve one of the biggest challenges of our generation – climate change? Well look no further as this business is working on predictive planet intelligence and is applying machine learning to satellite imagery to improve the decisions that governments, NGO’s and the private sector make around our natural resources.
Benefits for you
- Remote-first working (+/- 1hour CET) HQ based in Amsterdam
- Gender-diverse team (38% of business identifying as women)
- Flexible working hours and setup
- Equity
- Close work collaboration with founding team
Senior Machine Learning Engineer
Our client is looking for a Senior Machine Learning Engineer who’s a problem-solver interested in spending most of his time working autonomously or within a small team, building and improving models. You will explore working with satellite imagery sets, and play the role of a coach, raising the bar for all of the machine learning work. You will have responsibility for your own projects, and you are expected to take initiative to help improve overall, whether the work is about forest damage detection, tree species identification, or biodiversity monitoring.
Our Ideal Candidate
The ideal candidate for this role is someone who understands simplicity can be sufficient to develop a new model development. We are looking for a candidate who pays attention to both the small details and the larger picture, while teamwork is your second nature, helping others grow and succeed:
- You have around 4 years of commercial experience as a Machine Learning Engineer
- You have advanced Python experience (including PyTorch and/or Tensorflow)
- You have experience and enjoy mentoring engineers
Don’t match the requirements? We still want to hear from you! If you can’t find the perfect role for you online, get in touch with a Xena Consultant. Whatever you’re looking for, allow us to match you with a company that truly cares.
What this company does to support women
They have a remote-first culture which provides flexibility for all, and with many parents on the team, there is an ingrained empathy toward balancing childcare and working. With an established diverse team from many underrepresented groups, they have a low-ego attitude towards development and design growth opportunities per individual as opposed to a “one size fits all” mentality.
Relocation Options
This company is remote-first and not actively providing relocation opportunities at the moment.
