Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
About the role
- NLP intern in a summer program at Vail Systems for research in natural language processing. Working with machine learning techniques focused on speech and text communication modalities.
Responsibilities
- Work with us on some of the challenges in natural language processing (NLP).
- Conduct research in NLP and understand, codify and extract meaning from communication modalities (speech, text).
- Build new or improve existing models using state-of-the-art machine learning techniques.
- Gain insight from trying new machine learning approaches with a team of researchers and transition the research to a proof-of-concept.
Requirements
- Currently enrolled in a PhD program in Computer Science, Data Science, Mathematics, Human Computer Interaction, Natural Language Processing, Computational Linguistics or a related field.
- 1+ year experience with machine learning and natural language processing.
- Strong verbal and writing communication skills.
- Ability to independently execute a research agenda and collaborate effectively with other researchers and engineers.
- Proficiency in Python or R.
- Experience with deep learning platforms, such as PyTorch, Tensor Flow, CNTK, specifically as they relate to the implementation of state-of-the-art deep learning models (including, but not limited to transformer-based models).
- Existing body of relevant research contributions, such as peer-reviewed publications at top-tier conferences and journals related to ML/NLP.
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