We are sharing a specialised part-time consulting opportunity for PhD-level machine learning researchers with a demonstrated record of original frontier research and publications at ICML, NeurIPS, or ICLR.
This high-priority pilot focuses on advanced machine learning research and algorithmic innovation. Selected researchers will contribute deep technical expertise across areas such as reinforcement learning, meta-learning, recursive self-improvement, and AI for scientific discovery. The project has an accelerated timeline and is intended for researchers whose work has advanced state-of-the-art machine learning methods.
Key Responsibilities
Frontier Machine Learning Research
- Contribute to well-defined research problems involving advanced machine learning methods
- Develop and evaluate original algorithmic approaches grounded in current research
- Analyse experimental results and identify meaningful opportunities for improvement
- Apply rigorous scientific reasoning to complex and open-ended technical questions
Algorithm & Experiment Development
- Design experiments that test novel learning strategies, architectures, or optimisation methods
- Develop reproducible research workflows and clearly document experimental assumptions
- Evaluate competing approaches using appropriate metrics and statistical methodology
- Diagnose unexpected behaviour, methodological weaknesses, and performance limitations
Research Analysis & Technical Review
- Review technical outputs for methodological soundness, originality, and research quality
- Assess whether claims are supported by experiments and appropriate baselines
- Identify gaps in reasoning, evaluation design, and interpretation of results
- Provide precise written feedback and recommendations for further investigation
Rapid Pilot Collaboration
- Contribute within an accelerated research and delivery schedule
- Collaborate asynchronously with other senior researchers and technical stakeholders
- Communicate findings, limitations, and research decisions clearly
- Maintain high scientific standards while supporting fast project execution
Ideal Profile
Strong candidates may have:
- A PhD in machine learning, computer science, artificial intelligence, or a closely related field
- At least one main-conference publication at ICML, NeurIPS, or ICLR
- A particularly strong profile with two or more publications at these venues
- Demonstrated experience conducting original machine learning research
- A record of contributing to algorithmic innovation rather than primarily applied analytics
- Strong experimental design, mathematical reasoning, and technical writing skills
- Ability to work independently on ambiguous and research-intensive problems
- Availability to contribute promptly to an urgent pilot engagement
Educational Background
- A completed PhD in machine learning, computer science, artificial intelligence, statistics, applied mathematics, or a closely related discipline is required
- Doctoral research should demonstrate substantial original contributions to machine learning
- Publications at leading peer-reviewed ML conferences are central to the selection process
- Additional research experience within a university, industrial research laboratory, or advanced AI organisation may strengthen an application
Nice to Have
- Research expertise in reinforcement learning
- Experience with meta-learning or learning-to-learn methods
- Work involving recursive self-improvement or autonomous model-improvement systems
- Research in AI for science, including weather forecasting, protein modelling, or scientific discovery
- A strong record of state-of-the-art experimental results
- Experience developing open-source machine learning research tools or models
- Additional publications at leading machine learning, AI, or scientific-computing venues
- Familiarity with research workflows requiring rapid experimentation and delivery
Why This Opportunity
- Contribute to a small, highly selective frontier machine learning research group
- Work on high-priority problems involving original algorithmic innovation
- Apply expertise developed through top-tier ML research and publication
- Explore advanced topics across reinforcement learning, meta-learning, and AI for science
- Participate in an urgent pilot with competitive hourly compensation
Contract Details
- Independent contractor role
- Fully remote with flexible scheduling
- High-priority pilot with an accelerated selection and project timeline
- Initial research data or results are expected around 27–28 July
- Competitive rates between $105–$140 per hour depending on research expertise and publication record
- Weekly payments via Stripe or Wise
- Work may include research design, experimentation, technical analysis, and written evaluation
- Projects may be extended, shortened, or adjusted depending on pilot outcomes, scope, and performance
- Work will not involve access to confidential or proprietary information from any employer, client, or institution
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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