Senior Machine Learning Engineer

Athens, Attiki, Greece · Product


Workable is a product-driven software company. With thousands of enterprise users and millions in venture funding, we're building the best recruiting software in the world. A frictionless, usable, robust and highly scalable product that helps companies find and meet great people. The quality, design and usability of our software is what sets us apart from the competition. We have a team of remarkably talented and friendly developers and data scientists, a strong engineering culture and a dogged emphasis on customer-centric design.

The Data Science team works on NLP, recommender systems, fraud and outlier detection, information integration, data cleaning, learning-based knowledge management, and more. Our software is integrated into multiple modules of the Workable product. Our technology stack in Data Science consists of Python and Java apps based on PostgreSQL, MongoDB, RabbitMQ, Redshift and Elastic deployed on AWS. We experiment mostly in Python using notebooks, or in R, in a Cloud environment.

We are looking for a Senior (or a Principal, depending on experience) Machine Learning Engineer to join our team and address important data science challenges in recruiting software. In this role, you will propose novel algorithmic approaches and ML architectures, develop, test and put in production models, and take the lead on new projects and features.

We work on (among others):


In order to be considered, you must have:

Aside from these basics, we'll give extra credit to candidates that have experience in any of the following:


Our employees enjoy benefits that make them more productive and contribute directly to the development of their professional skills. We want to be able to attract the best of the best and make sure they keep getting better. On top of an exciting, vibrant and intellectually challenging workplace, we are offering:

Workable is most decidedly an equal opportunity employer. We want applicants of diverse background and hire without regard to color, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law.

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