Referral Playbook

Get Referred Into Applied-ML Roles by Alumni

Applied-ML roles at labs get flooded with strong resumes, so cold applications sink. The honest fix is a referral from an ML engineer who already shares your school or past employer.

Find your warm intro →

Free · No sign-up · See results in ~10 seconds

Example - what you’ll see

Someone who works at your target company

🎓 Same university as you · 💼 Shared past employer

🔥 Strongest

A recruiter at your target company

🎓 Same university as you

🎓 Alumni

✍️ Ready-to-send intro“Hi - we both studied at [your school]. I’d love to hear about your path to a company you are targeting before I apply…”

… plus everyone else in your network who can put in a good word.

See who can refer you in - pick your target company:

Short answer: Find ML engineers at your target lab who overlap with you on school or a former employer, message them leading with that shared thing, and ask for a referral into a specific applied-ML req. A referred candidate gets read; a cold resume competes with thousands. Overlap is what makes a near-stranger willing to vouch, so filter for it before you write a word.

Why referrals decide applied-ML hiring

Applied-ML and research-engineering reqs at labs like OpenAI, Anthropic, and DeepMind pull enormous inbound. Recruiters cannot deeply read every resume, so a name attached to a current engineer moves you out of the pile and onto a shortlist.

A referral is not a favor you are owed. It is a small risk an engineer takes on their own reputation. The reason school or shared-employer overlap works is that it gives them a real reason to trust you over the hundred other people who also asked.

How to find the right ML engineers

Do not message the hiring manager first and do not message random employees. Target engineers who actually do the work you want and who share something concrete with you.

Filter for real overlap. Search for ML engineers at the target company who went to your school or worked at a company you did. Shared context is the whole reason a stranger replies.
Match the work, not the title. Prefer people whose posts or repos touch applied ML, RLHF, evals, or inference, so their referral lands with the team actually hiring.
Pick recency over seniority. Someone who joined in the last year remembers the process and often has referral bonus incentive still fresh, which beats a busy staff engineer.
Read before you reach out. Skim their recent work so your first line names something specific, not a generic compliment that reads as automated.

Let the finding-and-ranking happen for you

Manually cross-referencing your school and every past employer against a company roster on LinkedIn takes hours and you still miss people. FindWarmIntros does that finding-and-ranking part: you name the target lab, and it surfaces the real people there who share your school or employer, ranked by how strong the connection is, and drafts a warm intro you can edit.

The tool does the lookup, but the message is still yours. Keep it short, lead with the thing you share, and make saying yes cost them thirty seconds.

How to ask so they actually say yes

Open with the shared thing in the first sentence, not the request. Then name the exact role and req number so they are not doing research for you. Close by making the referral itself trivial: offer to send a two-line blurb and your resume they can paste straight into the internal tool.

Never open with please refer me. Ask if they would be open to referring you for a specific role, and give them a clean out. A soft, specific ask converts far better than a broad one, and it protects the relationship if the answer is no.

Frequently Asked Questions

Should I ask for a referral in my very first message?

No. Lead with the shared school or employer and one specific line about their work, then ask. A cold refer-me from a stranger almost always gets ignored, even from an alum.

What if I only share a school, not an employer?

That is still a strong hook. Say the school by name in your first line and mention a shared professor, lab, or club if you have one. Specific overlap beats a generic alumni greeting.

Which engineer should I contact if several overlap with me?

Pick the one whose day-to-day work is closest to the applied-ML role you want and who joined recently. Their referral routes to the right team and recent hires remember the process.

How do I make the referral easy for them?

Send the exact role and req link, a two-line summary of why you fit, and your resume. If they can paste it into the internal tool in under a minute, they are far likelier to do it.

Keep going

Find your warm intro →