Machine Learning Engineer, Frontier Data Products

📋 Description

• Build ML systems that score, validate, and improve complex work products with imperfect labels.
• Design evaluation frameworks for tasks with partial, delayed, or disputed ground truth.
• Create feedback loops from review, disagreement, and correction to measurable improvements.
• Own production ML behavior end-to-end: precision/recall, drift, latency, cost, explainability.
• Improve model quality with prompting, fine-tuning, retrieval, active learning, and error analysis.
• Partner with backend engineers to integrate inference into durable, long-running workflows with oversight.

🎯 Requirements

• Track record shipping ML systems improving product metrics.
• Strong instincts for model quality, evaluation, and failure modes.
• Comfort with ambiguous problems and imperfect labels.
• Judgment on prompting, fine-tuning, retrieval, and human review.
• Solid fundamentals across the full ML stack.
• Familiarity with LLM apps or human-in-the-loop ML (plus).

🎁 Benefits

• Bi-annual performance bonus structure.
• Generous equity grant vested over 4 years.
• Up to $15k Relocation bonus.
• $10K housing bonus (if you live within 0.5 miles of our office).
• $1.5K monthly stipend for meals.
• Free Equinox membership.