Senior NLP Research Scientist: Large-Scale ML & LLMs

Yahoo Inc.; United States; Hybrid; USD 128,250 - 266,875; Full time

Benefits offered by this job

Flexible hybrid work options

Comprehensive healthcare benefits

401k plan

Education stipends

Backup childcare

Job summary

A leading tech company in the United States is looking for an experienced Applied ML Researcher. In this role, you'll lead the research and development of deep learning models focused on large-scale email data. Ideal candidates will have hands-on experience in machine learning, specifically with NLP, and a strong understanding of transformer architectures. A PhD or Master's degree in a related field, alongside 5+ years of experience, is preferred. The position offers flexible hybrid work options and a competitive compensation package.

Qualifications

• 5+ years of hands-on experience in applied machine learning and deep learning.
• Demonstrated experience fine-tuning LLMs using LoRA.
• Experience with knowledge distillation and model compression.

Responsibilities

• Drive the research and development of deep learning models.
• Fine-tune and adapt open-source foundation models.
• Build repeatable, scalable training workflows.

Skills

Hands-on experience with NLP

Model optimization techniques

Deep understanding of transformer architectures

Python proficiency

Experience with deep learning frameworks

Education

PhD or Master’s degree in Computer Science, Machine Learning, NLP

Tools

PyTorch

TensorFlow

Hugging Face tooling

Job description

A leading tech company in the United States is looking for an experienced Applied ML Researcher. In this role, you'll lead the research and development of deep learning models focused on large-scale email data. Ideal candidates will have hands-on experience in machine learning, specifically with NLP, and a strong understanding of transformer architectures. A PhD or Master's degree in a related field, alongside 5+ years of experience, is preferred. The position offers flexible hybrid work options and a competitive compensation package.