Machine Learning Engineer

What you'll do

• Design multi-agent systems, including safe operating limits, tool use, fallback behavior, and context and memory management.
• Build evaluation pipelines, benchmarks, and metrics to assess model and agent performance and detect regressions.
• Tune models and develop prompt, search, indexing, and document-processing systems for predictable behavior.

What they ask for

• Practical experience delivering LLM-powered agent products, including benchmarking, coordinating multiple models, and testing reliability.
• Experience designing and running rigorous ML experiments and evaluation tooling.
• Degree in computer science, physics, math, or another technical field from a top school.
• Background at a fast-paced startup, quantitative trading firm, or leading technology company; currently based in the US or Canada.

Nice to have

• Strong Python skills and depth with large language model systems.
• Prior experience shipping ML-driven products in a fast-moving company.

Pay

USD 175,000 to 350,000 per year (base salary)

Tools

Python

AI focus

Builds AI agents for complex professional workflows, including multi-agent coordination, model routing, prompt and memory design, evaluation, and document-to-structured-data pipelines.