Machine Learning Engineer

Starting January 2019

Your responsibilities
We’re looking for a Machine Learning Engineer to work directly with our CEO and lead all data-related efforts at Loomly. This will include designing, implementing and scaling a patent pending machine learning engine from scratch, and providing data-driven, business insights to both the marketing and the engineering team.
Your qualifications
  • 4+ years experience of software engineering with a high-level programming language, preferably Python, and proficiency in SQL.
  • Strong machine learning background, including supervised and unsupervised algorithms design.
  • 2+ years experience of quantitative analysis, preferably for an Internet-based company, inclusive of a solid understanding of statistical concepts such as multivariate analysis, type I / type II errors, effect sizes, linear & logistic regression and survival analysis.
  • Experience collaborating with multiple disciplines including product, engineering, customer service & marketing and ability to structure thoughts clearly & succinctly in written form for consumption in an asynchronous workplace environment.
  • BA/BS in Math, Statistics, Economics, Business, Computer Science, or other quantitative field. Advanced degrees preferred but not required.
  • Bonus: experience with Amazon AI & Scikit Learn.
Your competencies
If you have a track record of efficiency, integrity, follow-through on commitments, attention to detail, persistence & proactivity, then you will feel at home in our team. You will also get a head start if you can demonstrate communication, listening & teamwork skills.
How to apply
Send us a link to your LinkedIn profile, along with some samples of your work (GitHub, StackOverflow, portfolio) at and let us know in a short paragraph why you would like to join the Loomly team and how you can contribute to our long-term goals.