****THIS POSITION REQUIRES MOVING AND LIVING IN CALGARY, AB, CANADA.
This job is hybrid remote in Alberta, if you are accepted, you will need to be ready to relocate from Mexico to Canada in 2-4 weeks after the paperwork.
WHO WE ARE
We are culture builders. We believe and invest in people and use technology, data and organizational psychology to help companies build great work cultures.
We started in Mexico in 2006, built an incredible team for 15 years and were acquired in 2021.
Now we’re starting again in the beautiful city of Calgary to help Alberta Tech companies build cultures people will love to work for.
WHO YOU ARE
- You are humble. You share the credit and take pride in your team’s success. You accept responsibility for your mistakes and don’t blame others. You don’t think less of yourself, but you think in yourself less.
- You are passionate. But passionate about technology and building great things, not only passionate about sports or music (although there is nothing wrong with that, we too love Netflix and video games).
- You are empathetic. You are aware of what you say and do, and how that impact your teammates and clients. Sorry, but nobody wants to work with jerks (at least not us, and for sure, you don’t want an emotionless manager as your boss), no matter how genius you are.
PURPOSE-DRIVEN TECH
If you want to work for companies that are making an impact, if you want to be part of something greater than yourself, and not just work…we are here to help. Come and join the purpose-driven tech revolution.
YOUR SKILLS
Well, it is not only about romantic things and building a better world; you need to have some tech skills too:
- Graduate degree in Machine Learning or related field with equivalent experience in Machine Learning
- 2+ years of experience developing, training, and evaluating machine learning models in an industrial setting
- Applied research or industry experience in computer vision and/or reinforcement learning
- Proficient in at least one programming language eg: Python, Java, C++ or R
- Able to work with Jupyter notebooks style environments, comfortable with Python-based ML and Deep Learning frameworks (e.g. Scikit-learn, Tensorflow, Keras, Pytorch, Transformers, and pandas)
- Ability to communicate on technical topics with a non-technical audience
- General understanding of the strengths and weaknesses of a range of ML techniques across supervised learning, unsupervised learning, and reinforcement learning
- Up-to-date knowledge within your particular specialties
Don’t worry if you don’t have all the requirements of the job description. We know that there is no such thing as a “perfect” candidate. Due to company requests, we ask you to have at least 3 years of experience and that’s it, apply to this role if you feel identified.