Offer summary

Qualifications:

4+ years of hands-on experience with Machine Learning / Data Science, Interest in developing Machine Learning skills, Knowledge of statistics and probability, Proficiency in Python and relevant technologies.

Key responsabilities:

Designing and implementing deep learning models

Analyzing latest research in Machine Learning

Conducting A/B tests for new solutions

Developing modeling approaches for key issues

RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. Founded in 2012, the RTB House team comprises 1500+ specialists in over 30 locations around the globe. It serves more than 3,000 campaigns for clients across the EMEA, APAC, and Americas regions. After successfully deploying Deep Learning into 100 percent of its algorithms in 2018, RTB House has continued its research in the field of AI. The AI Marketing Lab and Creative Lab were set up as new divisions of the company focused on inventing and advancing MarTech products. The company’s AI-based product offering includes retargeting solutions and branding campaigns with ultra-effective Video Ads. To get the latest MarTech industry insight, including updates on the cookieless future, ideas for winning ad campaigns, and the great leaps in AI technology, sign up to get a bi-weekly dispatch from the world of online advertising: https://www.rtbhouse.com/newsletter

Job description

RTB House owes its market position to an advanced, innovative bidding system based on Deep Learning. As an ML Researcher, you will be responsible for its development.

Your tasks:

Designing and implementing models, most often of deep neural networks, used to predict the behavior and preferences of Internet users
Analysis of the latest works in the field of Machine Learning
Conducting and analyzing A/B tests of new solutions
Developing and testing new approaches to modeling key issues, such as bidding in first-price auctions

Technologies used:

Python, Java, Scala
PyTorch, NumPy, Pandas
Jupyter Notebooks

Our expectations:

4+ years of hands-on experience with Machine Learning / Data Science
Interest and willingness to constantly develop in the area of Machine Learning
Knowledge of statistics and probability
Proficiency in programming

Additional advantages will be:

Experience in the ML industry
Experience in designing recommendation systems
Practical knowledge of the tools we use

Sample topics:

Implementation and analysis of new model architectures, such as convolutional networks, transformer
Analyze the difference in the distribution of training and production data. Estimating the scale of the problem, identifying the best solution, analysis, implementation, deployment
Experiments with the use of transfer learning
A completely new approach to generating product recommendations that is free from proxy targets and uses contrastive loss function

In return, we offer:

A very attractive salary
Work in a team of enthusiasts with experience in machine learning who willingly share their knowledge and skills
Extremely flexible cooperation conditions - you work when it is convenient for you and devote as much time as you can; you can work fully remotely
Access to the latest technologies and the possibility of real use of them in a large-scale and highly dynamic project;
Possibility of using the possessed knowledge and competences in practical applications - while optimizing algorithms supporting hundreds of millions of Internet users and monthly buyers of billions of advertising views in the RTB model, based on extensive data sets
The effects of your work immediately visible in the company's business results
Possibility to publish your results

More information: techblog.rtbhouse.com/jobs/

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