Machine Learning Research Scientist (Remote | $60–$100/hr)
Why This Role Stands Out
This remote Machine Learning Research Scientist role offers a highly competitive hourly rate and the chance to contribute to cutting-edge AI research, perfect for PhD-level experts with publications in top AI conferences. You will have the flexibility to drive innovation in reasoning and problem-solving for next-generation AI systems, making a significant impact in the field. Apply today to leverage your deep understanding of ML theory and algorithmic innovation in a dynamic research environment.
Quick Overview
Job Description
About the Job
ML Research PhD Expert
Location: Remote
Engagement Type: Hourly Contract
Compensation: $60–$100/hour
About the Opportunity
This opportunity is for accomplished Machine Learning Researchers with publications at top-tier AI conferences including ICML, NeurIPS, and ICLR . You will contribute to advanced AI research projects by applying your expertise in frontier machine learning, helping improve the reasoning, learning, and problem-solving capabilities of next-generation AI systems.
The role is focused on researchers with a strong track record of original ML contributions and algorithmic innovation rather than purely applied analytics work.
Ideal Qualifications
• PhD in Machine Learning, Artificial Intelligence, Computer Science, or a closely related field.
• At least one published paper at ICML, NeurIPS, or ICLR .
• Strong preference for candidates with multiple publications at these venues.
• Demonstrated experience conducting original machine learning research.
• Deep understanding of modern machine learning theory, algorithms, and model development.
• Excellent analytical, research, and scientific communication skills.
• Ability to work independently in a fast-paced research environment.
Responsibilities
• Apply advanced machine learning expertise to support frontier AI research initiatives.
• Review, analyze, and evaluate research-level machine learning content and methodologies.
• Develop high-quality technical insights, evaluations, and research deliverables.
• Assess AI-generated outputs for technical accuracy, reasoning quality, and scientific rigor.
• Contribute expert feedback to improve model performance and research quality.
• Collaborate with researchers and project teams on challenging machine learning problems.
• Help create high-quality data and evaluation frameworks for advanced AI systems.
Preferred Research Areas
• Reinforcement Learning (RL).
• Meta-Learning.
• Recursive Self-Improvement.
• AI for Science.
• Scientific Discovery and Simulation.
• Weather Forecasting and Climate Modeling.
• Protein Modeling and Computational Biology.
• Foundation Models and Advanced Learning Systems.
Preferred Qualifications
• Multiple publications at ICML, NeurIPS, ICLR, or equivalent top-tier conferences.
• Experience leading or contributing to frontier ML research projects.
• Strong publication record in machine learning, AI, or computational sciences.
• Experience mentoring researchers, reviewing papers, or contributing to research communities.
• Familiarity with AI evaluation, benchmark development, or model assessment projects.
Project Details
• Fully remote and flexible schedule.
• Independent contractor engagement.
• Opportunity for ongoing research collaborations based on performance and project needs.
Compensation
• Competitive compensation of $60–$100/hour .
• Weekly payments.
• Independent contractor engagement.
Application Process
- Easy Apply on LinkedIn.
- Check Email for Next Steps.
- Participate in Resume Evaluation & Research Assessment Stage.
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