A hybrid work model that incorporates solutions developed by the leader and the team

What does this role involve

• You will become part of a team that is responsible for assessing incremental value for AI/ML projects
• You will use state of art approaches to identify strengths and weaknesses in projects (model analysis, AB testing, causality exploration, ...)
• On a daily basis,  you will mine data to proof / disproof hypotheses
• You will co-develop internal python library

We are looking for people who:

• Is interested in new technologies in ML space
• Is very familiar with Python and SQL
• Is curious and opened to learning new things
• Is not affraid to challenge current state of things
• understands how business side of data projects works
• Know English at B2+ level 

What we offer

• A hybrid work model that you will agree on with your leader and the team. We have well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)
• A wide selection of fringe benefits in a cafeteria plan – you choose what you like (e.g. medical, sports or lunch packages, insurance, purchase vouchers)
• English classes that we pay for related to the specific nature of your job
• The necessary tools for work
• Working in a team you can always count on — we have on board top-class specialists and experts to learn from
• Hackathons and an internal educational platform, MindUp (including training courses on work organization, means of communications, motivation to work and various technologies and subject-matter issues)

Why is it worth working with us

• Big Data – several petabytes of data and Machine Learning used in production
• We practice Code Review, Continuous Integration, Scrum/Kanban, Domain Driven Design, Test Driven Development, Pair Programming, depending on the team
• Our deployment environment combines private Data Centers (tens of thousands of servers) and Public Clouds (Google Cloud and Microsoft Azure)
• Over 100 original open source projects and a few thousand stars on github

Do you want to get to know us better? Listen to: Allegro Tech Podcast

Send in your CV, join the e-Xperience and see why it is #dobrzetubyć (#goodtobehere)