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.
Machine Learning Research Scientist (Remote | $60–$100/hr) in Dartford employer: Synthires
As a remote employer, we offer a flexible work environment that empowers our Physics Research Scientists to engage in cutting-edge AI research while maintaining a healthy work-life balance. Our commitment to employee growth is reflected in our support for continuous learning and collaboration with leading experts in the field, making this an ideal opportunity for those seeking meaningful contributions to advanced scientific projects.
