Senior Machine Learning Engineer – NLP/LLM

What you'll do

• Design, train, deploy, and optimize ML and LLM systems for NLP and document analysis.
• Build scalable ML pipelines and evaluation methods to measure model quality, reliability, drift, and bias.
• Collaborate across technical and legal teams to deliver production AI capabilities while protecting sensitive information.

What they ask for

• Master’s degree in Machine Learning, Computer Science, Statistics, or a closely related quantitative field focused on machine learning or artificial intelligence.
• 5+ years of professional machine learning engineering, applied machine learning, research engineering, or closely related software engineering experience.
• Hands-on experience building, training, and deploying ML models into production; practical experience with ML, NLP, and modern LLM architectures.
• Advanced Python skills and experience with PyTorch or TensorFlow; experience with model evaluation and at least one of information extraction, text generation/summarization, AI agents, or search.

Nice to have

• PhD in a related quantitative field.
• Experience deploying ML/LLM systems at scale, legal technology or other domain-specific language modeling, regulated industries, or serving and optimizing LLMs.

Pay

$127,000 USD - $235,000 USD (base salary); $110,000 USD - $204,200 USD (base salary); $100,000 CAD - $145,000 CAD (base salary)

Tools

Python, PyTorch, TensorFlow

AI focus

Develop and deploy ML and LLM systems for legal document intelligence, including information extraction, text generation and summarization, AI agents, search, document analysis, and model evaluation.