Great Value Hiring
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with 3+ years of experience, offering $100-$120/hr for a contract position. Key skills include ML system design, model development, and debugging, with a preference for candidates from industry labs or academic settings.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
960
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🗓️ - Date
February 16, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Debugging #ML (Machine Learning) #AI (Artificial Intelligence)
Role description
Machine Learning Engineer [$100-$120/hr]
Experienced machine learning engineers and researchers to contribute to the design of high-quality evaluation suites that measure AI performance on real-world machine learning engineering tasks
Role Responsibilities
• Design and write detailed evaluation suites for machine learning engineering tasks
• Assess AI-generated solutions across areas such as model training, debugging, optimization, and experimentation
Good Candidature
• 3+ years of experience in machine learning engineering or applied ML research
• Hands-on experience with model development, experimentation, and evaluation
• Background in ML research (industry lab or academic setting strongly preferred)
• Strong ability to reason about ML system design choices and tradeoffs
• Clear written communication and high attention to technical detail
Machine Learning Engineer [$100-$120/hr]
Experienced machine learning engineers and researchers to contribute to the design of high-quality evaluation suites that measure AI performance on real-world machine learning engineering tasks
Role Responsibilities
• Design and write detailed evaluation suites for machine learning engineering tasks
• Assess AI-generated solutions across areas such as model training, debugging, optimization, and experimentation
Good Candidature
• 3+ years of experience in machine learning engineering or applied ML research
• Hands-on experience with model development, experimentation, and evaluation
• Background in ML research (industry lab or academic setting strongly preferred)
• Strong ability to reason about ML system design choices and tradeoffs
• Clear written communication and high attention to technical detail
