Machine Learning Scientist / Engineer

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 personallytrained and improved machine learning models? We're looking for an ML professional to help develop production GenAI solutions supporting multilingual content acrosstext, 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 / PEFTHugging Face / PyTorch Instruction tuning or domain adaptation Building or curating training datasets Model evaluation and benchmarking Hyperparameter optimizationNLP / language modeling Machine translation Multilingual modelsOCR / image understanding Vision-language or multimodal models Production model deployment Model hosting and inference This isnot primarily an MLOps, infrastructure, prompt-engineering, or AI-agent development position. The core work involves choosing, training, fine-tuning, evaluating, and improving themodels 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 inNLP, machine translation, multilingual ML, OCR, or vision-language modelsis particularly valuable. Applied_Scientist_GenAI_LLM_Tra…This is an opportunity to work on ML systems processingmillions 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.