Machine Learning Engineer, Marketplace

Responsibilities

• Improve candidate-job matching using embeddings, structured attributes, and behavioral signals
• Optimize ranking toward long-term hiring outcomes under delayed and incomplete labels
• Design models that balance marketplace objectives such as fill rate, quality, speed, and conversion
• Build systems for candidate allocation, opportunity routing, and liquidity optimization
• Develop evaluation and experimentation frameworks that connect model performance to business results What We’re Looking For

Requirements

• 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 sharing knowledge, experience, and context that can't be captured in code alone.
• Mercor is creating a new category of work where expertise powers AI advancement.
• You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society.
• About the Role As a Machine Learning Engineer on the Marketplace team, you will build the models and decision systems that power Mercor’s hiring engine.
• This is an applied ML role with direct product and revenue impact.
• Strong track record of shipping ML systems into production
• Experience with ranking, recommendation, search, matching, or marketplace problems
• Comfort working across the full applied ML stack: data, features, training, inference, and iteration
• Strong engineering fundamentals and a bias toward simple, robust systems Why This Role This role sits on a core decision layer of the product.
• Your work will directly shape how talent is discovered, matched, and hired, and will influence fundamental marketplace outcomes across quality, speed, and revenue.
• Tech Stack Python, Go, embeddings, fine-tuning, RAG, Kafka, Postgres, Redis, Elasticsearch, Kubernetes, Terraform

Benefits