GenAI ML Scientist: Multilingual NLP & Model Training

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?

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 / Py Torch
• 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. _GenAI_LLM_Tra…

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. _GenAI_LLM_Tra…

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

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

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