Machine Learning Engineer – Model Evaluation, Experimentation

Job not on LinkedIn

🕒 August 9

🇺🇸 United States – Remote

💵 $60 - $90 / hour

⏰ Full Time

🟢 Junior

🤖 Machine Learning Engineer

👻 Ghost score 6%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mercor

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🔥 Funding within the last year

💰 $350M Series C - Mercor on 2025-10

Mercor is a company for which no descriptive text was provided in the input. Additional information (products, services, target customers, or industry specifics) is needed to create an accurate summary and select appropriate industries.

📋 Description

• Design well-defined, multi-step machine-learning tasks from real ML research ideas • Implement changes, run training experiments, and analyze results to establish correct solutions • Build tasks around reinforcement-learning concepts such as reward functions and training behavior • Evaluate frontier models and identify where and why they fall short • Compare notes with researchers and fellow experts to maintain consistency, rigor, and fairness • Work in a tight feedback loop with the lab’s researchers

🎯 Requirements

• MSc or PhD in machine learning, computer science, or another STEM field, or equivalent practical experience in a research-heavy domain • 1+ years of experience in a research or research-engineering role • Hands-on experience training and evaluating ML models and running experiments end-to-end, including setup, execution, and analysis • Strong familiarity with large language models, including their capabilities, limitations, and evaluation techniques • Working proficiency in Python and Git • Comfort working in scripting and notebook environments • Basic understanding of reinforcement learning, including reward functions and policy training, preferred • Past experience in AI training, model evaluation, or benchmark/task authoring preferred • High attention to detail and creativity in task design • Strong written communication skills • Ability to work independently through ambiguous, open-ended problems • Ability to engage reliably for approximately 35 hours per week

🏖️ Benefits

• W-2 employment • Payroll, benefits, and compliance administered by Cincinnatus LLC • Fully remote work within the United States • Approximately 35 hours per week • Opportunity to be placed at a leading AI lab as part of its extended workforce • Reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process