NLP Research Scientist — Remote Work & Equity

Awake Solutions; United States; Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Salary and equity

GPU/TPU credits

Conference travel

Publication support

Internal datasets access

Job summary

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.

Responsibilities

• 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.

Skills

NLP research

PyTorch

TensorFlow

Transformer models

Statistics

Education

PhD or Master’s in NLP/ML

Tools

PyTorch

TensorFlow

Job description

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.