Optimization Engineer - Work from Home/ Fully Remote

at  Ryanair

Ryanair Labs is the technology brand of Ryanair, a tech start up within an airline and with a state of-the-art digital & IT innovation hub we are creating Europe’s Leading Travel Experience for customers.
Portugal is the latest location added to our digital portfolio with a 100% work from home policy. With offices based in Dublin, Madrid, and Wroclaw you will be able to work with teammates in every location.
With big plans to digitally revolutionize the travel industry, Ryanair Labs has embarked on its mission to become the Amazon of Travel with an encompassing Trip’s platform.
Ryanair Labs is dedicated to hiring top IT talent, where software developers can have the freedom to work on game changing projects that will have an impact on our business and on more than 150m people a year.

EXPERIENCE REQUIRED:

• +2 years of experience (or relevant academic experience) working on mathematical optimization projects
• +2 years of experience developing with python or C++
• Skills in at least two of the following:
• mixed integer programming (branch and bound etc.)
• linear programming (simplex method, duality theory, column generation)
• constraint programming
• local search methods
• metaheuristics
• Fluent in English

THE ROLE

We are looking for an Optimization Engineer to work in a multi-disciplined team, working alongside Data Scientists, Developers, Designers and Product Owners, who will own their work from the initial idea to the final implementation. The role will allow for opportunities to work in a variety of areas such as flight operations, ground operations, scheduling, route development, and anything else that you may think of, or that will come your way.

YOUR RESPONSIBILITIES WILL INCLUDE:

The optimization engineering team goal is automating and optimizing company operations with advanced optimization techniques. It is currently a key team in the company, delivering solutions that are improving decision making in business critical areas. We are looking for someone who likes to face the most challenging problems in mathematical optimization (MIP, CP, min-cost-flow, …) and believes in the transformational power these solutions can bring to the business.