
Senior Machine Learning Researcher
RTB House
35000 - 47000 PLN / HOUR
Warszawa
Warszawa, Masovian
B2B
Machine Learning
Data Science
Deep Neural Networks
Python
Java
Scala
PyTorch
NumPy
Pandas
Jupyter Notebooks
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.
Słowa kluczowe
Machine Learning
Data Science
Deep Neural Networks
Python
Java
Scala
PyTorch
NumPy
Pandas
Jupyter Notebooks
Benefity
- 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
Wyświetlenia: 14
| Opublikowana | 28 dni temu |
| Wygasa | za 2 dni |
| Rodzaj umowy | B2B |
| Źródło |
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