Staff ML Engineer – Finetune NLP at Scale

Slack Enterprise; Seattle, Atlanta, San Francisco (WA, GA, CA); Hybrid; USD 197,300 - 313,700; Full time

Job summary

Slack is seeking a Staff ML Engineer with deep expertise in model training and finetuning to design, train, and ship NLP models powering core product experiences. This hands-on role owns the full lifecycle—from experiment to production—emphasizing scalable finetuning pipelines and robust reliability.

Ideal candidates will have 5+ years in NLP model training, strong PyTorch/TensorFlow/JAX skills, and production-scale experience shipping models to users.

Qualifications

• 5+ years of hands-on experience training and fine-tuning NLP models.
• 5+ years using PyTorch, TensorFlow or JAX in production.
• Experience shipping fine-tuned models to production at scale.

Responsibilities

• Design and execute finetuning strategies for LLMs and NLP tasks.
• Own the model training lifecycle end-to-end: data, training, eval, deploy, monitoring.
• Build scalable finetuning pipelines on GPU infrastructure.
• Mentor engineers and contribute to code reviews.

Skills

Deep learning NLP

PyTorch

TensorFlow

JAX

Production deployment

Tools

Python

Go

Java

Job description

Slack is seeking a Staff ML Engineer with deep expertise in model training and finetuning to design, train, and ship NLP models powering core product experiences. This hands-on role owns the full lifecycle—from experiment to production—emphasizing scalable finetuning pipelines and robust reliability.

Ideal candidates will have 5+ years in NLP model training, strong PyTorch/TensorFlow/JAX skills, and production-scale experience shipping models to users.