Crossing Hurdles

Machine Learning Engineer | Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer (Member of Technical Staff) with a contract length of over 6 months, offering a pay rate of $350K - $500K/year. Key skills include Python, large language models, and reinforcement learning.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
2272
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🗓️ - Date
June 18, 2026
🕒 - Duration
More than 6 months
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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
#Reinforcement Learning #Python #Data Pipeline #Langchain #AI (Artificial Intelligence) #ML (Machine Learning) #Security
Role description
Position: Member of Technical Staff, Forward Deployed (US Gov) Type: Full-time Compensation: $350K - $500K/yr Location: Remote Role Responsibilities • Build and maintain data pipelines for model training, evaluation, and research workflows. • Design and run reinforcement learning environments for experimentation and training. • Develop and scale model inference systems to enhance performance and reliability. • Implement and maintain software development kits and integrations across frontier AI platforms. • Construct agentic systems using modern large language model stacks, ensuring security and reliability. • Transition systems from prototype to production while maintaining high standards of reliability and security. Requirements • Have strong experience as a Python engineer with end-to-end ownership of projects. • Have experience with large language models and agentic systems, such as LangChain or LangGraph. • Have built or maintained data pipelines and machine learning infrastructure. • Be familiar with reinforcement learning workflows or simulation environments. • Have experience with distributed systems or scaling inference processes. • Be comfortable operating in high-security and high-reliability environments. Application Process • Easy Apply on LinkedIn • Check email for next steps • Participate in resume evaluation & interview stage