Crossing Hurdles

Machine Learning Engineer | $100/hr Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer, offering $80–$120/hour for a remote, hourly contract of 10–40 hours/week. Key skills include Python, TensorFlow, and ML libraries. Strong ML engineering experience is required; prior contributions to ML benchmarks are a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
800
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🗓️ - Date
December 25, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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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
#Libraries #Python #ML (Machine Learning) #TensorFlow #Reinforcement Learning #Debugging
Role description
Position: Machine Learning Engineer Type: Hourly contract Compensation: $80–$120/hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities • Draft detailed natural-language plans and implement code solutions for machine learning tasks. • Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments. • Identify failure modes in ML and LLM-generated workflows and apply corrective “golden patches.” • Contribute to benchmarking efforts focused on improving model performance and training efficiency. • Work independently within structured workflows while delivering measurable, high-quality outputs. Requirements • Strong experience in machine learning engineering or completion of advanced academic training in machine learning. • Proficiency in Python and common ML libraries such as TensorFlow, scikit-learn, XGBoost, or similar frameworks. • Experience with data preparation, model training, evaluation, and debugging ML workflows. • Ability to reason clearly about ML system behavior and document solutions effectively. • Strong attention to detail and comfort working in a remote, asynchronous environment. • Prior contributions to ML benchmarks are a plus but not required. Application Process (Takes 20 Min) • Upload resume • System design or ML-focused interview session • Submit screening form