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Machine Learning Research Intern

Fast Code AI

2 - 5 years

Bengaluru

Posted: 12/03/2026

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Job Description

ML Research Intern

On Site | 3-6 months | Full-time preferred



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What You'll Work On


High-level research areas (not exhaustive):


Reasoning Extraction - Build pipelines to extract structured patterns from messy customer data (interviews, chats, surveys). LLM-powered extraction with quality validation.


Model Fine-tuning - Train custom reasoning models using LoRA, DPO, and preference learning. Design evaluation frameworks for subjective tasks.


Simulation & Validation - Validate simulated behavior against real customers. Experimental design, statistical testing, causal inference.


Cognitive Architecture - Implement memory systems, planning mechanisms, and multi-agent interactions.


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Ideal Candidate


Must Have:

- Strong statistics foundation (hypothesis testing, experimental design, causal inference)

- LLM experience (APIs, prompt engineering; ideally fine-tuning)

- Python fluency (pandas, PyTorch, scikit-learn)

- Research mindset: design experiments, not just run code


Highly Valued:

- Completed ML/NLP/stats coursework

- Familiar with Generative Agents or agent-based modeling papers

- Experience with LLM evaluation or human studies

- Background in psychology/behavioral economics

- Publications or strong research projects


Bonus:

- Built agent-based models or cognitive architectures

- Open-source contributions


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What You'll Learn


- LLM Fine-tuning: LoRA, DPO, GRPO - from research to production

- Evaluation Design: LLM-as-judge, human evaluation, statistical validation

- Cognitive Architectures: Memory, planning, agent-based modeling

- Consumer Psychology: How people actually make decisions

- Research Product: Taking novel ML from paper to deployment



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Why Join


- Work on genuinely novel problems (not standard tutorials)

- Real data from D2C, B2B SaaS, fintech companies

- Ground floor in category-creating company


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Application


Send to: abhijeet@fastcode.ai


Include:

1. Resume- coursework, projects, research experience

2. Code sample- GitHub repo, notebook, or paper you've authored


We're looking for: Strong fundamentals, research thinking, genuine curiosity


Timeline: Review within 1 week, interviews 1-2 weeks, decision same week


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Logistics


- Duration: 3-6 months minimum

- Commitment: Full-time preferred (40 hrs/week)

- Location: Remote (India)

- Start: Flexible, rolling admissions

- Compensation: Commensurate with experience


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Ready to build AI that understands how people think?


Apply: [email] | Subject: ML Research Intern - [Your Name]


Equal opportunity employer. We value diversity.

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