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# Artificial Intelligence Researcher Internship at CryptoMize

An Artificial Intelligence Researcher at CryptoMize conducts applied AI research aimed at intelligence work — experiments in deep learning, deep neural networks, and NLP against engagement-derived problems, prototypes tested on adversarial multilingual data, and findings documented with the rigor reproduction demands.

Apply now for the Artificial Intelligence Researcher Internship in Delhi at CryptoMize — a 6-month certified program on a rolling, always-hiring intake. The intelligence problems this firm faces — multilingual disinformation, adversarial text, sparse signals — sit past what off-the-shelf AI solves. AI Researcher interns run applied experiments against those problems: deep learning and NLP work measured against honest baselines, with negative results documented instead of hidden. If you are a fresher or final-year student who wants applied research experience on problems off-the-shelf AI does not solve, this is the internship description, the required skills, the eligibility, and the selection process, in full.

## Facts

- Location: New Delhi (HQ), CDR Building, Chhatarpur
- Type: 6-month internship, certification provided
- Availability: immediate, rolling intake (always hiring)
- Compensation: discussed at screening

## What you will actually do

- Research novel forms of AI technology to create new applications that use data to drive independent actions — applied research aimed at intelligence work", "Design and run experiments on deep learning, deep neural networks, and natural language processing against engagement-derived problems", "Study the research landscape and translate what is real into what is usable — reading papers with an engineer's skepticism", "Build prototypes that test whether a technique survives intelligence-grade data: multilingual, adversarial, and sparse", "Document findings with the rigor reproduction demands — datasets, baselines, and honest negative results", "Partner with developers to carry validated research across the line into production capability", "Present research direction in review — what the firm should bet on next, and what it should stop betting on

## Skills

- Applied research design and experiment discipline", "Deep learning and neural network depth", "Natural language processing research literacy", "Paper reading with implementation skepticism", "Prototyping on messy, multilingual, sparse data", "Baseline construction and honest evaluation", "Documentation rigorous enough for reproduction", "Python research engineering (PyTorch-level)", "Negative-result honesty", "Transfer of research into production handoffs", "Research-direction presentation", "Patience with the long horizon honest research needs

## Tools

- Python (PyTorch, Hugging Face)", "Weights & Biases / experiment tracking", "Jupyter", "arXiv and paper-reference tooling (Zotero)

Apply: https://cryptomize.com/careers/internship/apply/
