Position: Data Engineer / Python Developer / Machine Learning Engineer
Company: LoopMe
Experience required: 3y
English level: intermediate

A full-time Data Engineer / Python Developer / Machine Learning Engineer position for an exceptional candidate who has a keen interest in applying AI systems at scale. You will be designing and building machine
learning systems that will operate on real-world data making decisions in real-time. You will be working in the highly exciting area of real-time ad targeting. The work involves handling billions of records of ad-serving requests. 
This is also an opportunity to become part of the UK tech start-up world and get the first-hand experience in how tech start-ups operate.

Key Responsibilities:
You will report to the Chief Data Scientist Leonard Newnham and join a team of other data scientists, senior data scientists, and data engineers to solve tough (but never dull) problems, such as:
- Writing well-tested production-ready code to handle many terabytes of data in real-time bidding systems
-  Scaling machine learning algorithms using cutting edge research (see papers at the end) to operate across multiple servers
- Develop and test new machine learning algorithms
- Maintain and improve existing products and processes

We are a small, highly interactive team working in an Agile environment where we prototype and then put into production machine learning solutions to solve real business problems. You will be involved with all stages of the
development lifecycle from brainstorming ideas to release of production quality code.
You will need strong communication skills. You will also be expected to care deeply about the quality of your code: its clarity, documentation, and testing.

Key Skills and Experience:
- A minimum of a Bachelor’s degree in a mathematical discipline such as Computer Science, Applied Statistics, Maths, Engineering or Physics
- 3+ years’ experience of Python
- 1 year of R
- Solid practical knowledge of infrastructure for running high availability systems. (Airflow, ElasticSearch, Kafka, ClickHouse, Spark, etc.)

Bonus Qualifications:
- Practical experience of applying AI in real worlds applications
- Experience with real-time bidding/understanding of auction theory
- Experience of adtech
- Experience in agile software development

About you:
- Strong self-motivation, reliable and flexible team-player
- High attention to details, ability to remain focused under pressure
- Proactive attitude towards improving processes and finding new solutions to challenging business problems

Benefits:
- Competitive compensation package
- Hundreds of millions of people see your work and use our products worldwide
- A transparent work environment
- Working in a team that inspires, and works with you to achieve industry-changing goals

About the Data Science Team:
- We are a team of 15 data scientists and data engineers building systems to apply the latest AI methods and research to real-world problems. LoopMe has over 200 employees, 100 or which are technical.
- We are a distributed team with offices in both London and Ukraine.
- We are open to new ideas and actively strive to improve both our systems and our development practices. It is a team where anyone can have a real impact.
- We are an inclusive and welcoming team in which people enjoy working with their colleagues and feel valued.
- We occasionally publish papers that may give a flavour of our work in automated bidding, for example:
 Hybrid Dual Censored Joint Learning of Reserve Prices and Bids for Upstream Auctioneers, P Paliwal, L Stavrogiannis, ADKDD 2021
http://papers.adkdd.org/2021/papers/adkdd21-paliwal-hybrid.pdf
and video: https://www.youtube.com/watch?v=U7GXblHtuA4

Gradient Boosting Censored Regression for Winning Price Prediction in Real-Time Bidding, P Paliwal, O Renov, International Conference on Database Systems for Advanced Applications 2019