About this opportunity
GCS Recruitment Specialists lists this Machine Learning Scientist / Engineer opportunity in seattle, Washington. Review the employer’s description below for duties, qualifications and application requirements.
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.
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Worksite address
seattle, WA, 98127, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.