Loopme
LoopMe is a technology company that uses AI to improve brand advertising performance & outcomes.
A full-time Machine Learning Engineer / Data Scientist 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. You will be involved with the whole system development life cycle, from brainstorming initial ideas, through prototyping to implementing production-level code and deployment. The work involves handling billions of data points per day.
LoopMe has a significant investment in AI. We are interested in pushing the boundaries and staying ahead of the competition rather than reapplying tired old systems. We do this by developing genuinely new machine learning systems and applying them in exciting and novel ways, please see our publications in the About the Data Science Team section below. (The second won the best paper at adKDD 2021.)
You will be part of a group consisting of 17 data scientists and data engineers under the guidance of a skilled Chief Data Scientist. (https://www.linkedin.com/in/leonardnewnham/). If you want to know what it is really like working in the Data Science team then check out our reviews on GlassDoor: https://www.glassdoor.com/Reviews/LoopMe-Data-Scientist-Reviews-EI_IE911164.0,6_KO7,21.htm Search “Data Scientist”. We have a solid 5-star rating and great feedback. To understand our values and how we like to work, check out the “About the Data Science Team” section below.
This is an opportunity to become part of a high growth, UK tech start-up and get first-hand experience into how tech start-ups operate. You will be working in an exciting and fast-paced environment in one of the most innovative companies in the AI space.
Key Responsibilities:
We work in small, highly interactive teams using two-week sprints. 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.
You will be working in a small team of 3-4 data scientists/machine learning engineers. You will be designing, building and running various pipelines that read terabytes of data and efficiently process it using several different modelling techniques, including some of our own novel algorithms. These pipelines will produce outputs that feed into real-time decision systems.
Some of the technologies we use include Google Cloud, Python, R, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse and various supervised learning algorithms.
Key Skills & Experience:
Bonus Qualifications:
About you:
The ideal candidate will examine data from many perspectives, be able to think out of the box and efficiently communicate ideas and findings to technical and non-technical peers equally. A passion for new technologies and a drive to find simple and elegant ways to implement simple solutions to complex problems are key.
Benefits:
About the Data Science Team:
o 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
o Hybrid Dual Censored Joint Learning of Reserve Prices and Bids for Upstream Auctioneers, P Paliwal, L Stavrogiannis, ADKDD 2021
(winner of the best paper award) http://papers.adkdd.org/2021/papers/adkdd21-paliwal-hybrid.pdf
About LoopMe:
LoopMe was founded with the mission of closing the loop on brand advertising. Our full-stack tech platform harnesses mobile data, using a powerful combination of attribution, Artificial Intelligence and analytics to deliver outstanding campaign performance against brand outcomes - consideration, purchase intent, foot traffic and offline sales.
The company was founded by experienced mobile advertising executives Stephen Upstone (CEO) and Marco Van de Bergh (CTO) in 2012. LoopMe has global offices in New York, London, Chicago, LA, Atlanta, Boston, Dallas, Detroit, San Francisco, Dnipro, Singapore, Beijing, Dubai and Johannesburg.
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