Research Scientist — NLP

Awake Solutions; United States; Hybride; USD 150 000 - 210 000; Plein temps

Avantages offerts par ce poste

Salary and equity

GPU/TPU credits

Conference travel

Publication support

Internal datasets access

Résumé du poste

Awake Solutions seeks an experienced NLP/ ML researcher to advance language models through novel methods and rigorous evaluation. You will design experiments, build architectures, and collaborate with engineering to deploy research prototypes at scale.

The role emphasizes publishing findings, presenting at conferences, and ensuring reproducibility of experiments, while mentoring junior researchers and shaping research priorities. Global remote or hybrid work options are supported.

Qualifications

• PhD or Master’s degree with substantial research experience in NLP or ML.
• Hands-on experience with PyTorch or TensorFlow and training transformer models.
• Strong knowledge of statistics, optimization, and language model evaluation metrics.
• Experience with distributed training at scale and data pipelines.

Responsabilités

• Design and run experiments to improve model quality, robustness, and generalization.
• Develop architectures, training approaches, and evaluation methods for language models.
• Partner with engineering to deploy research prototypes at scale.
• Publish findings, present at conferences, and keep experiment code reproducible.
• Mentor junior researchers and help set priorities for research work.

Connaissances

NLP research

PyTorch

TensorFlow

Transformer models

Statistics

Formation

PhD or Master’s in NLP/ML

Outils

PyTorch

TensorFlow

Description du poste

Role overview

Conduct foundational and applied natural language processing research, advancing language models through new methods that can improve product capabilities. The work spans experimental design, model and evaluation development, collaboration with engineering on deployment, and sharing research through publications and presentations.

Responsibilities

• Design and run experiments aimed at improving model quality, robustness, and generalization.
• Develop architectures, training approaches, and evaluation methods for language models.
• Partner with engineering to bring research prototypes into scalable production use.
• Publish findings, present at conferences, and keep experiment code reproducible.
• Mentor junior researchers and help set priorities for research work.

Requirements

• A PhD or master's degree with substantial research experience in NLP or machine learning.
• Hands-on experience with PyTorch or TensorFlow and training transformer models.
• Strong knowledge of statistics, optimization, and language model evaluation metrics.
• Experience with distributed training at scale and data pipelines.

Nice to have

Top-tier publications or a record of research contributions such as papers and open-source work.

Benefits and work setup

Full-time research role with global remote or hybrid options and a flexible schedule. Support includes salary and equity, dedicated research compute such as GPU or TPU credits, conference travel and publication assistance, and access to internal datasets and annotated corpora.