Summary
What you’ll impact
The Senior Machine Learning Engineer will author high-fidelity reasoning traces to teach large language models how to plan, use tools, and make decisions. The role involves decomposing complex ML problems, designing data strategies, reviewing peers’ traces, and ensuring rigorous logical architecture, all on a remote, flexible contract basis.
Responsibilities
What you'll do
- Author complex, high-fidelity reasoning traces that capture how an LLM should plan, use tools, and make decisions when solving real technical tasks
- Decompose sophisticated ML problems into clear, logical, well-documented step-by-step solutions
- Design and implement data strategies that train LLMs to navigate intricate, real-world decision-making scenarios
- Review and provide expert-level feedback on reasoning traces produced by other contributors
- Ensure traces reflect sound architectural thinking, rigorous logic, and best practices in model reasoning
- Work across a variety of advanced technical tasks spanning ML engineering, model evaluation, and system design
Requirements
What you’ll bring
- Seasoned ML practitioner with significant hands-on experience in machine learning, deep learning, or a closely related technical field
- Skilled at breaking down complex, multi-step problems into clear and logical structures — you think in systems and document with precision
- Familiar with LLM architectures, training methodologies, and evaluation frameworks
- A strong written communicator who can articulate technical reasoning clearly and concisely
- Self-directed and dependable — you produce quality work independently without needing hand-holding