Machine Learning Research Scientist
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Job Description
Machine Learning Research Scientist at GroupSolver working on NLP models to enhance traditional market research practices. Collaborating with teams across different time zones to deliver insights for leading companies.
Responsibilities:
- Work with and develop state-of-the-art NLP models to improve conventional market research practices.
Requirements:
- MS/PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field.
- 2+ years of hands-on experience in predictive modeling, ML or large data analysis
- Algorithm and model development experience for large-scale applications
- Proficiency in at least one of the following languages: Python, R/Matlab, Java
- Comfortable working with teams in different time zones, (USA, Europe)
- Good communication skills, ability to explain technical concepts to non-technical audiences.
- Strong understanding of Transformer architecture and Attention mechanisms.
- 2 years of experience in NLP
- Familiarity with spaCy, AllenNLP, Gensim, Pytorch, Tensorflow, Deep Learning
- Knows the difference between RNN, CNN, LSTM, GANs.
- Familiar with Meta AI, Deepmind, Google AI, OpenAI and other big players.
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