Role overview
We are a diverse team that takes pride in understanding the perspectives of others. We fully embrace working remotely and we are eager to act, improve and accelerate progress inside and outside of our organization.
To drive revolutionary changes in society and make crypto useful, we delight our customers with world-class products, deep care, and intentional empathy.
As a Machine Learning Engineer, your primary objective is to enable advanced analytics products for Product squads, Technology, Finance, Operations and others to drive value for our users following best software practices. Youâll bridge the gap between advanced analytics and software engineering within the machine learning(ML) team. On top of that, youâll be able to develop machine learning models that directly impact our users.
What you'll work on
- Have a degree in a quantitative field such as mathematics, computer science, data science, or actuarial scienc
- 3+ years of ML Engineer experience
- A proven track record of machine learning solutions for batch and On-demand solutions
- Knowledge of DevOps/MLOps practices and tools for automatization and CI/CD
- Experience with cloud platforms such as AWS, Azure or Google cloud platform
- Strong proficiency in Python & SQL
- Experience in Databricks and MLflow
- Understanding of software engineering best practices, including version control, code reviews and automatic testing
- Strong communication skills and the ability to convey complex technical concepts to both technical and non-technical stakeholders
What we're looking for
- An advanced degree(Masterâs or Ph.D.) in Machine learning, Data Science, Computer science or any related field
- Data Engineering experience
- Experience with Terraform