Senior Machine Learning Researcher

Senior Machine Learning Researcher

RTB House

35000 - 47000 PLN / HOUR
B2B

Hexjobs Insights

Senior Machine Learning Researcher role focused on designing models, analyzing A/B tests, and developing new modeling approaches. Requires 4+ years experience in Machine Learning.

Schlüsselwörter

Machine Learning
Data Science
Deep Neural Networks
Python
Java
Scala
PyTorch
NumPy
Pandas
Jupyter Notebooks

Vorteile

  • Extremely flexible working conditions
  • Possibility to work fully remotely
  • Access to the latest technologies
  • Immediate visibility of work effects
  • Opportunity to publish results

Technologies we use

Your responsibilities

  • 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

Our requirements

  • 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

Optional

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

What we offer

  • 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

Selected technologies used

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

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
Aufrufe: 15
Veröffentlichtvor 28 Tagen
Läuft abin 2 Tagen
Art des VertragsB2B

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