Research Scientist — NLP

Conduct fundamental and applied research in natural language processing to advance our models and publish/ship novel techniques that improve product capabilities.

Tasks:

• Design and run experiments to improve model quality, robustness and generalization.
• Develop novel architectures, training curricula and evaluation methodologies.
• Collaborate with engineering to productionize research prototypes at scale.
• Publish research, present at conferences and maintain reproducible experiment codebases.
• Mentor junior researchers and contribute to roadmap prioritization for research efforts.

Requirements:

• PhD or MSc with strong research experience in NLP or ML (top-tier publications a plus).
• Hands-on experience with PyTorch/TensorFlow and training large models (transformers).
• Strong background in statistics, optimization and evaluation metrics for language models.
• Experience with large-scale distributed training and data pipelines.
• Track record of research output (papers, open-source contributions) is a plus.

Benefits: