Senior Machine Learning Engineer
alignerr
Job Description
What You'll Do
- Author complex, high-fidelity reasoning traces that capture planning, tool use, and multi-step decision-making for sophisticated technical tasks
- Design and document structured traces that demonstrate how a model should reason through real-world scenarios — not just what the answer is, but how to get there
- Review and quality-check traces produced by other contributors, ensuring clarity, logical soundness, and technical accuracy
- Develop data strategies that help LLMs navigate ambiguous, multi-layered problems with reliable, consistent reasoning
- Apply senior-level architectural insight to ensure traces reflect best practices in model decision-making and problem decomposition
Who You Are
- Experienced in machine learning, AI research, or a closely related technical field — you understand how models learn and where they fail
- Skilled at decomposing complex problems into clear, documented, logical steps that others can follow and evaluate
- Familiar with LLM training pipelines, evaluation methodologies, and the mechanics of how models develop reasoning capabilities
- A precise, structured thinker who can translate expertise into high-quality written documentation
- Self-directed and reliable — you produce consistent, high-quality work without hand-holding