Summary
What you’ll impact
The Senior Machine Learning Engineer will create high-fidelity reasoning traces and decision‑making flows to train large language models in complex, multi‑step tasks. This fully remote, contract role involves independent, asynchronous work shaping AI model architecture and data strategies.
Responsibilities
What you'll do
- Author complex, high-fidelity reasoning traces that capture how an LLM should plan, use tools, and make decisions across sophisticated real-world tasks
- Design and document structured decision-making flows that train models to reason reliably in multi-step scenarios
- Review and refine reasoning traces for logical soundness, completeness, and clarity
- Apply senior-level architectural thinking to ensure planning and tool-use documentation meets the highest quality standards
- Develop data strategies that help LLMs navigate intricate, ambiguous, and technically demanding scenarios
- Work independently and asynchronously — fully on your own schedule
Requirements
What you’ll bring
- Experienced in machine learning, AI research, or a closely related technical field with a strong focus on model reasoning and decision-making
- Skilled at decomposing complex problems into clear, logical, well-documented steps
- Deeply familiar with LLM evaluation and training methodologies
- Able to think like a model — anticipating failure modes, edge cases, and reasoning gaps
- A clear, precise technical writer who can document nuanced thought processes in structured formats
- Self-directed and reliable when working independently without close supervision