Staff ML Engineer — End-to-End NLP Fine-Tuning

salesforce.com, inc.; Seattle (WA); On-site; USD 197,000 - 314,000; Full time

Job summary

Salesforce is seeking a Staff Machine Learning Engineer to join Slack's ML team and drive end-to-end NLP model training, fine-tuning, and production deployment. You will design, train, and ship models that power core Slack features used by millions daily, with a focus on reliability and scalable architectures.

The role emphasizes hands-on development, pipeline building, and collaboration with PMs, designers, and engineers to ship impactful AI capabilities within the Slack ecosystem.

Qualifications

• 5+ years of hands-on experience training and fine-tuning deep learning models in NLP.
• 5+ years of experience with common deep learning frameworks like PyTorch, TensorFlow, JAX.
• Track record of shipping fine-tuned models to production that serve real users at scale.
• Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.
• An analytical and data driven mindset, and know how to measure success with complicated ML/AI products.
• Led technical architecture discussions and helped drive technical decisions within the team.
• The ability to write understandable, testable code with an eye towards maintainability.
• Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.

Responsibilities

• Design and execute finetuning strategies for large language models and other deep learning architectures tailored to Slack's NLP tasks (summarization, ranking, classification, generation).
• Own the model training lifecycle end-to-end: data curation, training infrastructure, hyperparameter optimization, evaluation, deployment and monitoring.
• Build and maintain scalable finetuning training pipelines on GPU infrastructure.
• Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.
• Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.
• Mentor other engineers and deeply review code.
• Improve engineering standards, tooling, and processes.

Skills

NLP model training

Fine-tuning large language models

Production ML systems

Programming

Analytical mindset

Communication skills

Tools

PyTorch

TensorFlow

JAX

TorchScript

TensorRT

ONNX

Job description

Salesforce is seeking a Staff Machine Learning Engineer to join Slack's ML team and drive end-to-end NLP model training, fine-tuning, and production deployment. You will design, train, and ship models that power core Slack features used by millions daily, with a focus on reliability and scalable architectures.

The role emphasizes hands-on development, pipeline building, and collaboration with PMs, designers, and engineers to ship impactful AI capabilities within the Slack ecosystem.