Applied Scientist - GenAI / LLM & Machine Translation

Location: Seattle, WA - Onsite 5 days/week
Engagement: Contract
Start: November 2026

We are seeking an experienced Applied Scientist to join a newly established science team focused on developing and deploying next-generation LLM, NLP, and multimodal machine learning solutions at significant production scale.

This is a hands-on applied science position for someone who has personally trained and fine-tuned machine learning models, understands how foundation models work internally, and can take models from experimentation through production deployment.

The team is developing GenAI solutions supporting large-scale multilingual content and translation workflows across text, images, and video. The environment has a start-up mentality with significant opportunity to influence model selection, experimentation, and technical direction. Applied_Scientist_GenAI_LLM_Tra…

What You'll Do

  • Fine-tune LLMs and transformer-based models for production applications.
  • Design and execute model-training and evaluation experiments.
  • Build and prepare datasets for model training and fine-tuning.
  • Evaluate model performance, identify failure modes, and determine how to improve accuracy and quality.
  • Select appropriate foundation models and model sizes based on the problem.
  • Work across NLP, machine translation, OCR, image localization, and multimodal ML workflows.
  • Deploy production-grade models operating at large scale and low latency.
  • Partner with MLOps and engineering teams to automate training, inference, sampling, and deployment workflows.
  • Communicate experimental results and technical recommendations to technical and non-technical stakeholders. Applied_Scientist_GenAI_LLM_Tra…

Required Qualifications

  • 3+ years of experience building machine learning models for real-world business applications.
  • Demonstrated hands-on experience fine-tuning LLMs or transformer-based models, beyond prompt engineering or API integration.
  • Experience modifying model weights, parameters, hyperparameters, training approaches, or model architectures.
  • Strong understanding of foundation models and modern ML/model-training concepts.
  • Experience evaluating model performance and using experimental results to improve models.
  • Experience deploying machine learning models into production environments.
  • Strong Python programming skills.
  • 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…

Highly Desired

Experience with technologies or domains such as:

Llama | Mistral | T5/mT5 | NLLB | PyTorch | Hugging Face | LoRA | QLoRA | PEFT | NLP | Machine Translation | Multilingual NLP | OCR | Vision-Language Models

Experience hosting or serving models and publications or patents in relevant ML disciplines are also valuable. Applied_Scientist_GenAI_LLM_Tra…

Location Requirement: This position is onsite in Seattle, WA five days per week. Candidates willing to relocate are welcome and should be prepared to relocate at their own expense. Former Amazon employees are welcome to apply.

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

$95.00 - $120.00
Per hour
USD95 - USD120 per hour
Added 01/10/2026
Reference: 168129_1790864943

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