Search Systems Engineer - Fully Remote

Mercor, Inc.

New York, NY, United States

2 days ago

Apply on www.careerjet.com

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Role details

Contract type

Permanent contract

Employment type

Part-time (≤ 32 hours)

Experience level

Expert

Compensation

$166,400.0 - $312,000.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Artificial Intelligence Amazon Web Services Systems Engineering Program Optimization Data Infrastructure Machine Learning Tensorflow Pytorch Kubernetes Machine Learning Operations

Job 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

Requirements

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.