
Senior Machine Learning Researcher
RTB House
35000 - 47000 PLN / HOUR
B2B
Status
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: 16
| Veröffentlicht | vor 28 Tagen |
| Läuft ab | in 2 Tagen |
| Art des Vertrags | B2B |
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