Machine Learning Engineer

What You'll Do

• Design and document precise, step-by-step reasoning workflows for sophisticated technical challenges
• Record how an expert strategizes, selects tools, and makes decisions when solving real-world ML problems
• Produce high-quality training datasets that demonstrate proficient, structured problem-solving for AI models
• Audit and refine AI-generated reasoning traces — identifying gaps, errors, and logical inconsistencies
• Translate complex technical processes into clear, well-organized logs that AI systems can learn from

Who You Are

• Professional background in Machine Learning, Software Engineering, or a related technical discipline
• Able to break down intricate reasoning and methodology into clear, sequential steps
• Strong critical thinker — you can spot flawed logic and know how to correct it
• Detail-oriented and consistent, with a systematic approach to documentation
• Comfortable working independently and asynchronously on task-based projects
• Master's Degree or PhD in a relevant field

Nice to Have

• Prior experience with data annotation, data labeling, or AI evaluation workflows
• Familiarity with how large language models are trained or fine-tuned
• Background in prompt engineering, RLHF, or AI alignment research
• Experience working across multiple ML domains — NLP, computer vision, reinforcement learning, etc.