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Machine Learning Researcher

extra holidays - fully flexible

Remote:

Full Remote

Contract:

Freelance

Experience:

Mid-level (2-5 years)

Work from:

Poland

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 Scaleup https://www.rtbhouse.com/

1001 - 5000 Employees

See all jobs

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/