About the Job

ML Research PhD Expert

Location: Remote

Engagement Type: Hourly Contract

Compensation: $75–$85/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.
- Robust 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 $75–$80/hour .

- Weekly payments.
- Independent contractor engagement.

Application Process

1. Easy Apply on LinkedIn.
2. Check Email for Next Steps.
3. Participate in Resume Evaluation & Research Assessment Stage.

📌 Machine Learning Engineer (Remote | ) (India)
🏢 Synthires
📍 India