About our Team
As one of the largest AI teams in Europe, we work with the analysis of sound, image, speech, text, Big Data, NLP, and more. We base our work on the latest methods of machine learning (including deep neural networks), extensive data resources and appropriate computing resources. We implement ready-made solutions into the products used by hundreds of millions of people all over the world.
Role and Responsibilities
- Take part in R&D projects in one of the following areas of Natural Language Processing:
- Question Answering
- Natural Language Understanding/Generation
- Language Modeling
- Machine Translation
- Web/Social Network/Opinion Mining, Text Mining, Text Analytics
- Knowledge Discovery in Big Data
Technologies in use
- Python, Java, C++
- Linux OS
- Tensorflow, PyTorch
Skills and Qualifications
- General knowledge of machine learning
- Good knowledge of Linux
- Good knowledge of at least one programming language: Python, Java, C/C++
- BSc or Engineer degree in computer science, mathematics, or similar
- Good command of English
Nice to have
- General knowledge of NLP tools and algorithms
- Knowledge of tools such as: NumPy, scikit-learn, Tensorflow, Pandas, Thean, Caffe, Keras, or similar
- Experience in using cloud services such as Amazon Web Services or Google Cloud Platform
- Experience in Internet crawling, information retrieval, NLP or big data projects
We offer
Internship conditions:
- Cooperation based on a civil contract
- Competitive salary
- Flexible working hours
- Possibility of long lasting cooperation
Team:
- Possibility to learn from world-class experts in a friendly atmosphere
- Opportunity to work in multiple projects
- Monthly integration budget
Equipment:
- PC workstation/Laptop + 2 external monitors
- OS: Linux, Windows
Benefits:
- Variety of discounts (Samsung products, theaters, restaurants)
- Free access to Copernicus Science Center for you and your friends
- Chillout rooms
- Variety of tea, coffee and fresh fruits/vegetables
Location:
- Office in Warsaw Spire near metro station
- Working remotely during COVID-19 pandemic