Staff NLP Engineer: Production-Ready LLM Finetuning

100 Salesforce, Inc.; Seattle (WA); On-site; USD 197,300 - 344,700; Full time

Benefits offered by this job

Competitive salary

Medical, dental, vision, and mental health support

Flexible working arrangements

Job summary

100 Salesforce, Inc. is looking for a Staff Machine Learning Engineer based in Seattle, WA, to design and build production-ready NLP models. The ideal candidate has 5+ years of experience in training deep-learning models and collaborating with cross-functional teams.

The role includes responsibilities such as owning the model training lifecycle, developing finetuning strategies, and mentoring other engineers. Benefits include a competitive salary range of $197,300 – $344,700, medical support, and flexible working arrangements.

Qualifications

• 5+ years of hands-on experience training and fine-tuning deep-learning models in NLP.
• Track record of shipping fine-tuned models to production at scale.
• Strong communication skills to explain complex technical concepts to diverse stakeholders.

Responsibilities

• Design and execute finetuning strategies for NLP tasks.
• Own the model training lifecycle end-to-end: from data curation to deployment.
• Collaborate with cross-functional teams to build new features.

Skills

Training and fine-tuning deep-learning models

Experience with PyTorch, TensorFlow, or JAX

Functional or imperative programming languages

Analytical, data-driven mindset

Strong communication skills

Job description

100 Salesforce, Inc. is looking for a Staff Machine Learning Engineer based in Seattle, WA, to design and build production-ready NLP models. The ideal candidate has 5+ years of experience in training deep-learning models and collaborating with cross-functional teams.

The role includes responsibilities such as owning the model training lifecycle, developing finetuning strategies, and mentoring other engineers. Benefits include a competitive salary range of $197,300 – $344,700, medical support, and flexible working arrangements.