Staff Machine Learning Engineer

What you'll do

• Lead ML projects end-to-end, from architecture through production, and define strategic roadmaps with stakeholders.
• Build scalable ML systems, evaluation pipelines, and data workflows; lead design reviews for security, responsible AI, model quality, and reliability.
• Mentor engineers and establish technical standards for design, testing, observability, and operations.

What they ask for

• 8+ years of experience in machine learning and software engineering, building and maintaining production ML systems, data platforms, or analytical services.
• Hands-on expertise in one or more of LLMs, deep learning, graph neural networks, gradient-boosted trees, or regression, and strong knowledge of NLP, information retrieval, data mining, or advanced statistics.
• Strong Python skills and ability to write maintainable, highly tested production code for ML services.
• Experience mentoring engineers, leading design reviews, raising technical standards, and influencing stakeholders.

Pay

$218,025 — $256,500 USD (annual base salary)

Tools

LLMs, deep learning, graph neural networks, gradient-boosted trees, regression, NLP, Python

AI focus

Builds production ML systems for customer support, using LLMs and other ML methods for intelligence, evaluation, routing, classification, safety, and decisioning. The role also calls for responsible generative AI use with human oversight and measurable improvements in workflow efficiency, cost, and quality.