Careers
NLP Research Engineer
About The Position
As an NLP research engineer, you will conduct research projects to create the next generation of efficient language models. You will contribute to empirical research of the highest quality, using and developing state-of-the-art deep learning architectures, techniques, and algorithms.
Requirements
- 3+ years NLP deep learning hands-on research/development experience.
- MSc degree in computer science or a similar technical field.
- Extensive experience applying and training state-of-the-art NLP models (e.g., BERT, transformers).
- In-depth experience at least one of the major frameworks (TensorFlow/PyTorch).
- Excellent team player with strong communication skills in verbal and written English.
- Extensive knowledge of OOP, design patterns, and solid software development principles in Python.
Preferred qualifications
- PhD in computer science or a similar technical field.
- Publication in top-tier peer-reviewed (NLP) venues such as ACL, NAACL, NeurIPS, ICLR.
- Experience in the original design of deep neural models for complex NLP problems.
- Proven track record in delivering deep learning NLP models for industrial production.
Responsibilities
- Carry out effective scientific research by formulating meaningful research questions, conducting experiments, organizing results, concluding and communicating results in presentations, blog posts.
- Contribute to the integration of developed algorithms and architectures into Deci’s products.
- Manage individual customer projects. Handle priorities, deadlines, and deliverables, and conduct frequent interactions with our customers’ highly-skilled deep learning engineers and scientists.
- Collaborate with deep learning engineers.