You are hiring a single AI Research intern. The gap between a listing that fills in a week and one that sits open for two months is almost never the stipend — it is whether the brief names the actual ai research work.
The "ML" qualifier means evaluation is part of the deliverable. A model with no held-out evaluation is not a deliverable, and screening should test that instinct directly.
People searching for ml research intern often also look at ai research assistant intern. The skills overlap heavily; what differs is emphasis — this brief leans on the ml side of the work, while ai research assistant intern leans on assistant. If your requirement genuinely spans both, say so in the listing rather than picking one title and hoping.
Use it as a checklist. By the end you should be able to write a AI Research listing that a strong candidate reads to the bottom, and screen the applications it brings in.
What a single AI Research intern actually does in the first 90 days
Write one of these into the listing. A named deliverable is the single biggest predictor of application quality we see on AI Research roles — it tells a good candidate the work is real.
- Build a baseline, beat it, and document why the improvement is real
- Reproduce one paper’s core result and document where it did not hold
- Run a clean ablation on the current model
- Write the internal research note the team can act on
AI Research skills worth screening for
These are the skills that appear in the actual work above. Anything that does not map to a deliverable does not belong in the job description either.
- 1Train/test discipline and leakage awareness
- 2Reading and reproducing a paper
- 3Experiment design with controls
- 4Ablation studies
- 5Statistical significance of results
- 6Literature survey and citation discipline
- 7Clear technical writing
- 8Reproducible code and seeds
Ask for evidence rather than a claim: a repository, a dashboard, a report, a runbook. For AI Research especially, one thing they built and can explain beats a page of listed technologies.
Screening questions for ml research intern
Every question here has a wrong answer, which is what makes it a screen rather than a conversation. Twenty minutes on these tells you more than an hour of "tell me about yourself".
Tell me about a paper you failed to reproduce.
What a good answer shows: Scientific honesty, which is rarer than skill
How do you know an improvement is not noise?
What a good answer shows: Seeds, repeats and significance
If a question stops discriminating between candidates, replace it — one everybody answers well is not screening anything.
Where the AI Research candidates come from
You are hiring from a verified pool of students and recent graduates across India: premium institutes and strong regional colleges both, with projects, skill tags and availability already on the profile. Every employer is verified before a listing goes live, which is why candidates here actually reply.
- Skill tags — filter directly on Python, PyTorch, Weights & Biases and the rest of the AI Research stack
- Portfolio and project evidence attached to the profile, rather than a résumé alone
- Graduation year and current semester, so you only see candidates free when you need them
- Availability window and notice, so a six-month role does not shortlist a six-week candidate
- Degree and branch, for the roles where the coursework genuinely matters
Our AI candidate finder takes a plain-English brief — "AI Research intern in Pune, Python, available from June" — and ranks the pool against it instead of making you filter by hand.
What to pay a single AI Research intern in 2026
The working band is ₹21,000–₹52,500 a month. Paying under it does not save money — it costs you the candidates who had a second option.
The stipend calculator on this site uses live listing data for this role and city. A band chosen from memory is usually a year out of date, always in the same direction.
A remote role competes with every city’s employers for the same candidate. Discounting a remote stipend to tier-2 levels loses you the tier-1 applicants you opened it up to reach.
It filters for who can afford to work free, not who is good. It also roughly halves your applications, and removes most of the candidates who had a second option.
If this role can become full-time, say so and treat the stipend as the first rung rather than the whole compensation conversation. It materially widens who applies.
Getting one AI Research intern to actually produce something
The difference between an intern who ships and one who does not is almost never talent. It is whether the work was ready on their first day and whether someone read it on their second week.
Laptop, accounts, repository or dataset access, and a task small enough to finish in two days. Interns who spend week one waiting for access rarely recover the momentum.
Read their work in the first week, not the fourth. Early correction on a small piece of AI Research work is cheap; late correction on a term’s work is not.
Someone who wants the output and will complain if it is wrong. Work with no audience is the fastest route to a disengaged intern.
Write down what a successful term would produce. Otherwise the end-of-term assessment becomes a memory of impressions, and that helps nobody.
How to post ml research intern on MyInternships.in
The whole flow is a short chat. Company details are verified before the listing goes live, which is exactly why candidates trust and answer these listings.
One sentence is enough to start. Mention Python and the duration, and the assistant will ask what it still needs.
It drafts the description, suggests the title and tags the AI Research skills so the right candidates see it. You edit anything before it publishes.
One-time company verification protects the pool from fake listings, which is why response rates here hold up on roles that would be ignored elsewhere.
You review applicants in the dashboard, shortlist, and message candidates directly. Most employers interview within the first week.
Free plan: one listing, live after verification. Starter ₹499: five listings a month, published instantly, full applicant contact and résumé access. Growth ₹999: fifteen listings with AI candidate matching.
Mistakes that cost you the good AI Research candidates
None of these are hypothetical. They are the patterns behind listings that get plenty of applications and no hires.
A AI Research listing with fourteen required tools reads as a company that does not know what it needs. Strong candidates self-select out; the ones who apply anyway have inflated their CVs to match.
Research framing needs a question and a time box. An open-ended research brief produces a reading list; a time-boxed one produces a recommendation you can act on.
Interviews reward confidence, and confidence in early-career candidates is distributed unevenly by background rather than by ability. Score the answers, not the delivery.
A single interviewer hires people like themselves. A second pair of eyes on the shortlist costs half an hour and materially changes who gets through.
ML Research Intern — frequently asked questions
How much AI Research experience should we expect?+
None professionally, and that is the point. What you should expect is evidence: something built, run or fixed involving Python or PyTorch, that they can talk about in depth. Screen on train/test discipline and leakage awareness and reading and reproducing a paper; treat everything else on the list as trainable during the term.
Is ml research intern enough to move a real project forward?+
Yes, within a scoped brief. Build a baseline, beat it, and document why the improvement is real is achievable in a term with weekly review, and it is genuine output rather than a training exercise. What does not work is open-ended ownership of anything with production consequences — keep the judgement calls with the reviewer and the execution with the intern.
What stipend should we pay ml research intern in India?+
₹21,000 to ₹52,500 a month covers most of the market for this role. Metro product companies pay at the top of the band; tier-2 cities and services firms 25–40% lower. An unpaid listing filters for who can afford to work free rather than who is good, and roughly halves the applications you receive.
Can we screen ml research intern without a technical interviewer?+
For a first pass, yes. Ask "Tell me about a paper you failed to reproduce." and judge whether the answer is specific and consistent — you are checking for scientific honesty, which is rarer than skill, which does not require you to know the subject. A AI Research practitioner should still take the second round, because at that point you are assessing depth rather than authenticity.
What does it cost us in time to supervise one AI Research intern?+
Realistically two to four hours a week of a competent person: a longer session early on, then short daily availability and a weekly review. Below that, the intern stalls and produces nothing you can use. Above it, you are doing the work yourself. That time is the true cost of the hire, and it is what the stipend line in your budget does not show.
Does the "Ml" in ML Research Intern change who we should hire?+
The "ML" qualifier means evaluation is part of the deliverable. A model with no held-out evaluation is not a deliverable, and screening should test that instinct directly. In screening terms, that means adding one specific check: train/test discipline and leakage awareness.
How do we stop unqualified applications for ml research intern?+
Specificity does most of the work. A listing that names the project, the tools and the deliverable filters itself, because candidates can tell whether they fit. Adding one screening question to the application — from the set above — removes most of the rest without adding a review round.
Do we need a job description ready before posting ml research intern?+
No. The posting assistant asks a few short questions — the role, the work, the duration, the stipend — and drafts the description, the title and the skill tags for you. You review and edit everything before it publishes, and you can paste in your own description if you already have one.
Related roles employers hire alongside ml research intern
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Hire ml research intern — post in about two minutes
Answer a few questions and our AI writes the description, suggests the title and tags the AI Research skills. Your company is verified, the listing goes live, and applications start arriving.