AI Platform
/Learn at the frontier
Engineering Intern — ML / LLM
ML / LLM Internship
Engagement
Internship
Structured, hands-on mentorship for a fixed term. This internship is on site at Kolkata, with hybrid days available by prior arrangement. It is not a remote position.
Scope of role
Contribute to live projects. Shadow senior practitioners. Build a portfolio that matters.
Please note this is an unpaid internship — the offer is real work, mentorship and experience at the frontier, not a stipend.
01 — The role
Why this role exists at EduRankAI
3 months on the AI platform team. Own a slice — eval harness, retrieval pipeline, fine-tune, prompt engineering. Real research or applied work, paired daily with Staff ML engineers. The bar is "you build something the team continues to use after you leave". An eval that finds a regression we did not know about. A retrieval pipeline that improves a number we measure. A fine-tuning run that produces a model the team ships.
02 — The work
What you will own
- 01 Own a scoped ML deliverable for 3 months.
- 02 Ship something the team uses after your internship ends.
- 03 Author a technical report at the level the team would publish externally.
- 04 Pair daily with Staff ML engineers.
- 05 Present what you built at end-of-internship review.
03 — The expertise
What we look for
04 — The bar
Who thrives here
- → You have at least one ML or LLM project you can point at that another person has used.
- → You have read at least three ML papers carefully and can describe their load-bearing claim.
- → You can describe a specific ML bug you debugged at the model level, not at the API level.
- → You write evaluation code on purpose.
- → You can defend the design of an eval you wrote in writing for 30 minutes.
Terms of Engagement
How this internship is structured
6 days a week, about 40 hours of total engagement — 5 hours a day of project work and departmental responsibilities, plus 1 hour 40 minutes a day of holistic well-being and personal development.
Type
Full-Time
Working days
6 per week
Rest days
1 per week
Total engagement
~40 hrs/week
Project work
5h per day
Well-being
1h 40m per day
Duration
12 weeks
Project work and departmental responsibilities and holistic well-being and personal development together make up the total engagement above — the total is not all task output. Well-being time covers physical fitness, mindfulness, reading, reflective learning, leadership development and community engagement. About 480 hours of total engagement over 12 weeks — 360 hours of project work and 120 hours of well-being and personal development.
Measured by
Weekly mentor review against a published rubric, plus the completion of the recorded hours. Working materially over the commitment is treated the same as working under it.
Where this stands legally
Offered under the applicable AICTE internship framework, where one academic credit corresponds to a minimum of 45 hours of work — which is why these hours are counted and certified. The engagement sits well inside the 9-hour day and 48-hour week ceiling of the applicable state Shops and Establishments Act, and the seventh day is a full rest day.
At a minimum of 45 hours of work per academic credit, this engagement is equivalent to roughly 10.7 credits. Your institution decides what it awards; EduRankAI records the hours and the work.
The full per-level model is published at Working Hours by Level.
05 — Hiring process
What to expect after you apply
- 01
Application review
Every application is read personally within five business days. We respond either way.
- 02
Take-home or live exercise
Role-specific. Time-boxed. Real problems we are actually working on, not invented puzzles.
- 03
Conversations
Deep technical and values conversations with the team you would join. No trick questions. No panel ambushes.
- 04
Offer or honest no
If yes: digital offer letter, signed in-portal, transparent terms. If no: written feedback if you want it.
Before you start
What we will collect. What it costs. What we will not do with it.
We will collect
- Name, email, phone — Account + application updates. No marketing.
- Resume / portfolio link — Human review of your work.
- Date + place of birth — Identity verification only.
- Your written responses — Selection rubric. Read by humans.
- Government ID (later) — Anti-fraud at offer / interview stage. Not at signup.
We will never
- Sell your data
- Share with third-party recruiters
- Use for advertising
- Train models on it
- Send marketing email
Our situation
EduRankAI is a small, independent organization building long-term capabilities in educational intelligence, advanced AI systems, and research infrastructure. We take no advertiser money, no donations with strings attached, and no investor pressure on hiring decisions. Applying is free, and every application is read by a human — recruitment, technical, academic and leadership teams. It buys us the right to be honest.
Ready to apply?
We read every application personally. If you are the right person for this role — regardless of pedigree, background, or where you are based — you will hear back from us within five business days.
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