CodeGeniusRecruit

Machine Learning Engineer | Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer, remote, with a contract length of over 6 months, paying $60-$90 per hour. Key skills include ML model training, reinforcement learning, Python, and Git, requiring an MSc/PhD or equivalent experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
720
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🗓️ - Date
August 1, 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 #ML (Machine Learning) #Scripting #Computer Science #GIT #Python
Role description
Work Snapshot Type: Full-time Location: Remote Commitment: 10-40 hrs/week Commission: $60-$90 per hour What You'll Be Doing • Design tasks by turning real ML research ideas into well-defined, multi-step tasks. • Run experiments by implementing changes, running training experiments, and analyzing results. • Explore reinforcement learning ideas, focusing on reward functions and training behavior. • Evaluate models to determine how they handle tasks and identify shortcomings. • Collaborate with researchers and fellow experts to ensure tasks are consistent and rigorous. What We Re Looking For • MSc or PhD in machine learning, computer science, or another STEM field, or equivalent practical experience. • Have strong relevant experience in a research or research-engineering role. • Hands-on experience in training and evaluating ML models and running experiments end-to-end. • Strong familiarity with large language models and their evaluation techniques. • Working proficiency in Python and Git, with comfort in scripting and notebook environments. Application Process • Submit your application through the Easy Apply button. • Each application will be reviewed against the role requirements. • Candidates who meet the requirements will receive an email with the next steps. • Follow the instructions provided in the email to complete the remainder of the application process.