Machine Learning Engineer, Marketplace
Mercor · San Francisco
- Posted
- 54 days ago
- Last confirmed live
- 1 day ago
What this role involves
Mercor seeks a Machine Learning Engineer for their Marketplace team to build models and decision systems for the hiring engine, including ranking, matching, and recommendation. The role involves applied ML with direct product and revenue impact, working on marketplace optimization. The position is onsite in San Francisco, NYC, or London, with benefits including equity and bonuses.
Skills this posting asks for
- python
- go
- embeddings
- fine-tuning
- rag
- kafka
- postgres
- redis
- elasticsearch
- kubernetes
- terraform
- ranking
- recommendation
- search
- matching
- marketplace
Requirements
- Remote policy: onsite
From the employer’s posting
ABOUT MERCOR Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sh…
Read the full description on Mercor’s careers pageApply without filling the form
Approve this role and the application is completed for you, including a résumé tailored to it. You get a confirmation when it lands, and a credit is only spent when a submission is confirmed.
Other roles at Mercor
- Product Manager, APEXSan Francisco
- Fullstack Engineer, RL EnvironmentsSan Francisco
- Software Engineer, Search Systems - Code DataSan Francisco
- Fullstack Software Engineer, Agent PlatformSan Francisco
- Product Manager, Trust & Safety San Francisco
- Software Engineer, Frontier Data ProductsSan Francisco or NYC