AI Platform
/Senior leadership
Staff ML Research Engineer
Research → Production
Compensation
INR 45 - 75 LPA + equity.
Engagement
Full-Time
Permanent role. Full-time commitment. Primarily on-site, with limited remote flexibility.
Scope of role
Set direction within your domain. Build and mentor a team. Own outcomes at the function level.
01 — The role
Why this role exists at EduRankAI
The bridge between the research lab and the AI platform. You will implement frontier-paper ideas, reproduce baselines, and write the libraries the rest of engineering depends on. Half the role is reading; half is writing libraries that survive the messy reality of production. You will pair with research scientists weekly. The art is keeping the scientific intent intact while making the code maintainable, deterministic, and fast enough to ship.
02 — The work
What you will own
- 01 Reproduce frontier-paper baselines for reasoning, alignment, and evals.
- 02 Implement research-team ideas as production-quality libraries with tests, types, and docs.
- 03 Own the experiment tracking and reproducibility infrastructure.
- 04 Run interventions and ablations that validate or invalidate research claims.
- 05 Author internal whitepapers when an idea graduates from speculative to baseline.
- 06 Pair with research scientists weekly; translate ambiguous hypotheses into clean experiments.
03 — The expertise
What we look for
04 — The bar
Who thrives here
- → You have reproduced at least three frontier ML papers from scratch and you can describe what each one got wrong in the original.
- → You can read a paper on Friday and have a runnable repro by the next Friday.
- → You have shipped at least one library that other engineers depend on.
- → You write tests for research code even when nobody asks you to.
- → You can defend a one-pager that argues against a popular research method.
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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