Research Intern – AI (Unpaid) Organisation: Kalman.in Work Arrangement: Fully Remote Position: Research Internship Compensation: Unpaid Duration: To be mutually agreed About Kalman.in Kalman.in is an early-stage AI research and development initiative focused on translating advanced academic research into practical AI applications in Finance and Healthcare. We explore emerging technologies including Agentic AI, Large Language Models (LLMs), Small Language Models (SLMs), diffusion models, world models, multimodal AI and autonomous systems. We are looking for technically strong individuals who enjoy exploring advanced research, implementing research papers and developing working AI prototypes. Research & Development Opportunities Candidates can express interest in one or more of the following areas. 1. Healthcare AI & Biomedical Research We are exploring advanced AI applications across clinical workflows, medical imaging and computational biology. Potential projects include:
- AI Scribe: Developing intelligent clinical documentation systems that can process clinical conversations, generate structured clinical notes and integrate medical terminology and knowledge.
- Diffusion Models: Research into generative diffusion models for medical imaging, image reconstruction, synthesis, augmentation and accelerated imaging.
- Protein Folding & Computational Biology: Exploring protein structure prediction, protein representations, sequence modelling and applications of generative AI in computational biology.
- Medical Imaging AI: Multimodal learning, image segmentation, representation learning and AI-assisted image analysis.
- Healthcare Research Agents: Autonomous agents for literature review, biomedical research, scientific information retrieval and evidence synthesis.
- Clinical AI Agents: Developing systems that can assist with clinical workflows, medical documentation and structured information extraction. 2. Finance AI & Autonomous Trading Systems Research into intelligent financial systems, quantitative modelling and autonomous trading agents. Potential projects include:
- Autonomous Options Trading Agent: Developing AI agents to analyse options markets, evaluate strategies, manage positions and support trading decisions.
- Quantitative Research Agents: Automating financial research, company analysis, market intelligence and investment screening.
- Multi-Agent Trading Systems: Exploring collaborative agents for market analysis, strategy development and portfolio management.
- Financial Data Intelligence: Processing financial statements, market data, news and research reports.
- Custom Trading Benchmarks: Developing frameworks to evaluate trading agents, strategy robustness, risk-adjusted returns and execution performance. 3.



Agentic AI & Automated Research This is a cross-domain research area supporting both Finance and Healthcare. Potential projects include:
- Autonomous research agents capable of searching, reading and synthesising academic papers.
- Multi-agent systems for collaborative research and problem-solving.
- Automated literature reviews and scientific knowledge extraction.
- Research paper reproduction and automated experimentation.
- Custom evaluation benchmarks for reasoning and research capabilities.
- MCP-based tool integration and autonomous workflows. Technical Requirements We are looking for candidates with strong technical and mathematical fundamentals. Essential

skills:

- Strong foundations in mathematics, linear algebra, probability, statistics and optimisation.
- Good understanding of machine learning and deep learning.
- Strong Python programming skills.
- Familiarity with PyTorch or equivalent deep learning frameworks.
- Ability to read and critically understand advanced academic research papers.
- Ability to translate research methodologies into working prototypes.
- Experience designing experiments, datasets and custom benchmarks.
- Robust analytical thinking and independent problem-solving. Particularly valued:
- Experience with Transformers, LLMs and diffusion models.
- Knowledge of reinforcement learning and agentic AI.
- Experience with medical imaging, computational biology or protein modelling.
- Knowledge of quantitative finance, derivatives or options trading.
- Experience with scientific computing and model evaluation. We value strong fundamentals and research implementation capabilities over familiarity with particular AI tools or frameworks. Kalman AI Lab – SLM Builders Programme We strongly encourage research interns to participate in our free, self-paced eight-week SLM Builders Programme. The programme covers:
- Neural networks and automatic differentiation.
- Building an autograd engine and GPT-2 from scratch.
- Transformer architectures and modern language models.
- Model training, fine-tuning and optimisation.
- MCP integration and tool use.
- Building and deploying autonomous AI agents.
- Optional research topics covering world models and multimodal AI. Programme: https://kalman.in/builders The objective is to understand AI from first principles and develop the engineering capabilities required to build intelligent systems rather than simply use existing APIs. What You Will Gain
- Exposure to advanced AI research and emerging technologies.




- Experience translating academic research into practical prototypes.
- Opportunity to work on real-world Finance AI and Healthcare AI problems.
- Experience developing autonomous agents and custom benchmarks.
- Technical guidance and research mentorship.
- Opportunities to contribute to technical reports, research publications and open-source projects, where appropriate.
- Internship completion certificate upon successful completion of agreed research deliverables. Internship Details
- Compensation: Unpaid.
- Work Arrangement: Fully remote.
- Duration: To be mutually agreed.
-

Working Hours
Flexible, based on research deliverables.
- Progress Meetings: Approximately 2–3 hours per week for research discussions, progress updates and reporting.
- Organisation: Kalman.in. The 2–3 hours per week refers to meetings and reporting, not the total time required for research and implementation. Interns are expected to work independently and provide regular progress updates. About This Opportunity Kalman.in is currently at an early stage of development. We are building our research capabilities, technical infrastructure and project foundations. This is an opportunity to contribute to building an applied AI research initiative from its early stages. Projects and research directions will evolve. We are looking for individuals who are comfortable with open-ended research problems, independent learning and experimentation. This is not a conventional corporate internship. We value intellectual curiosity, technical depth, initiative and the ability to take ownership of research problems.

How to Apply
Please submit your CV, GitHub profile or technical portfolio (if available), along with brief responses to the following to [email protected]:
- Preferred Research Domain: Are you more interested in Healthcare AI, Finance AI or Automated Research Agents? You may select multiple areas.
- Research Interests: Why are you interested in these areas? What specific problems would you like to investigate?
- Technical

Experience:
Describe an AI project, research paper or technical implementation you have previously worked on.
- Research Implementation: Identify an advanced research paper you would like to reproduce. Briefly explain how you would implement it and develop a benchmark to evaluate its performance.
- Builders Programme: Are you interested in undertaking the Kalman AI Lab SLM Builders Programme? We are particularly interested in candidates who can move beyond tutorials, understand advanced research, build working prototypes and develop meaningful evaluation methodologies. Kalman.in – Research. Build. Evaluate. Innovate. Pay: ₹1.00 per month

Benefits:
- Flexible schedule Work

Location:
Remote

📌 Research Intern (India)
🏢 Kalman AI Technologies
📍 India