Mercor
Sr. Machine Learning Engineer, Anonymization
$180K–$500K
San Francisco +1 · On-site · Senior · Full-time · Posted May 29, 2026
- Location
- San Francisco
New York City - Experience
- 4+ years of experience
About the job
Build and operate production machine-learning systems that evaluate, validate, and improve complex work products using expert feedback and human review.
What you'll do
- Build ML systems and evaluation frameworks for nuanced tasks with imperfect, delayed, or disputed labels.
- Create feedback loops that turn review and corrections into measurable model and system improvements.
- Own production ML quality, including precision/recall, regression detection, drift, latency, cost, and explainability.
What they ask for
- Track record of shipping ML systems that improved a product, workflow, or business metric.
- Strong skills in model quality, evaluation design, error analysis, and production failure modes.
- Comfort working with ambiguous problems and imperfect labels.
- Solid engineering fundamentals across the full ML stack.
Nice to have
- Familiarity with LLM applications, model-assisted workflows, evaluation frameworks, or human-in-the-loop ML.
Pay
$180K – $500K (base salary)
Tools
Python, Temporal, Postgres, AWS, LiteLLM
AI focus
Develop applied ML systems for complex work products, including evaluation, model improvement, human-in-the-loop workflows, and feedback-driven quality gains.
Model-written summary · the original posting is authoritative