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# Search Systems Engineer - Fully Remote

- **Company:** Mercor, Inc.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $166,400.0 - $312,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Systems Engineering, Program Optimization, Data Infrastructure, Machine Learning, Tensorflow, Pytorch, Kubernetes, Machine Learning Operations
- **Published:** August 13, 2026
- **Apply:** https://www.careerjet.com/jobad/us949efb976ae13b722d718aefbddf30eb

## About the Role

* Experience shipping production search systems.
 * Ownership of relevance or retrieval on systems used by real users.
 * Ability to quantify impact and improvements in search systems.
 * Experience building systems related to agentic search.
 * Experience scaling data infrastructure for search systems.

Interview Process

 * 25 mins conversational interview. No coding, no take-home.
 * Follow-up with a paid 30-minute live conversation if interview stands out; $200 for your time.

## Description

* Evaluate the accuracy and depth of AI-generated content in search systems to strengthen reasoning and rigor in model outputs.
 * Develop and optimize systems related to agentic search for improved performance and reliability.
 * Scale data infrastructure to support modern search systems and enhance retrieval capabilities.
 * Collaborate with AI research teams to quantify impact and improvements in search systems.
 * Work independently and asynchronously to meet deadlines while improving AI model performance., PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity., Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agi…
 + 3 hours ago


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