Machine Learning Scientist / Engineer

GCS Recruitment Specialists; Seattle (WA); On-site; USD 140,000 - 210,000; Full time

Job summary

GCS Recruitment Specialists is seeking an experienced Machine Learning Scientist/Engineer to build and fine-tune LLMs, NLP, and multimodal models for production GenAI solutions in a Seattle onsite role. You will work on multilingual content across text, images, and video, train and evaluate models, and collaborate with an established MLOps function to deploy in production.

Candidates should have hands-on experience with fine-tuning, PEFT methods, PyTorch/Hugging Face, and a track record of

Qualifications

• Direct experience fine-tuning transformer models for production use.
• Hands-on training and evaluation of ML/NLP models.
• Experience taking ML models into production environments.
• Strong Python programming skills.

Responsibilities

• Fine-tune and improve foundation models for production GenAI solutions.
• Evaluate model performance and run ablation studies.
• Prepare and curate training datasets for multilingual content.
• Collaborate with MLOps on production deployment.

Skills

Fine-tuning LLMs

Training ML/NLP models

LoRA / QLoRA / PEFT

Hugging Face

PyTorch

Instruction tuning

Dataset curation

Model evaluation & benchmarking

Hyperparameter optimization

NLP / language modeling

Multilingual models

OCR / image understanding

Vision-language / multimodal

Production model deployment

Model hosting/inference

Education

PhD in Computer Science / ML

Master's + 4+ years experience in related field

Tools

PyTorch

Hugging Face

Job description

Machine Learning Scientist / Engineer - LLM, NLP & Model Training

Location: Seattle, WA - Onsite
Engagement: Contract
Start: November 2026

Are you an experienced Machine Learning Engineer, ML Scientist, NLP Scientist, Research Scientist, or Applied Scientist who has personally trained and improved machine learning models?

We're looking for an ML professional to help develop production GenAI solutions supporting multilingual content across text, images, and video.

Your current title matters less than the work you've actually done.

We're particularly interested in people who can answer questions like:

• Why isn't this model performing well?
• What changes should we make to the training data or fine-tuning strategy?
• Which foundation model is best suited to this problem?
• How do we objectively demonstrate that the new model performs better?
• How do we take the resulting model into a real production environment?

What We're Looking For

You should have direct experience with several of the following:

• Fine-tuning LLMs or transformer models
• Training ML/NLP models
• LoRA / QLoRA / PEFT
• Hugging Face / PyTorch
• Instruction tuning or domain adaptation
• Building or curating training datasets
• Model evaluation and benchmarking
• Hyperparameter optimization
• NLP / language modeling
• Machine translation
• Multilingual models
• OCR / image understanding
• Vision-language or multimodal models
• Production model deployment
• Model hosting and inference

This is not primarily an MLOps, infrastructure, prompt-engineering, or AI-agent development position. The core work involves choosing, training, fine-tuning, evaluating, and improving the models themselves, while partnering with an established MLOps function on production infrastructure. The official role specifically requires LLM experience beyond prompt engineering and direct work with model internals. Applied_Scientist_GenAI_LLM_Tra…

Background

Successful candidates will generally bring:

• 3+ years building ML models for real-world applications.
• Strong hands-on model training/fine-tuning experience.
• Experience taking ML models into production.
• Strong Python skills.
• Understanding of modern foundation-model architectures and training techniques.
• Ability to independently investigate model failures, design experiments, and improve performance.
• PhD OR Master's degree plus 4+ years of relevant experience in Computer Science, Machine Learning, Computer Engineering, or a related field. Applied_Scientist_GenAI_LLM_Tra…

Experience in NLP, machine translation, multilingual ML, OCR, or vision-language models is particularly valuable. Applied_Scientist_GenAI_LLM_Tra…

This is an opportunity to work on ML systems processing millions of pieces of content per day across 130+ locales, solving problems where off-the-shelf models are not sufficient. Applied_Scientist_GenAI_LLM_Tra…

Location: Seattle, WA - onsite five days/week.

GCS is acting as an Employment Business in relation to this vacancy.