Every ML search should start with everyone who can do the job, not the same hundred profiles everyone else has already called.
Today it doesn't. Searches run on job titles, and many of the strongest ML people don't have ML in theirs. They're listed as software engineers, research associates or members of technical staff, so they never come up.
More tools won't fix it. Most of them search the same profiles with the same words. Finding the rest means reading the work itself: papers, code and models. That takes time no busy desk has.
Talent Engine does that reading for you. For each role, we find the research scientists, research engineers and ML engineers who can do the job, check every one against their live profile, and hand you a short list within 72 hours, each with a verified email.
A short list is only as good as its weakest name. We'd rather send you five right people than fifty maybes.
You spend your time talking to candidates, not researching them.
Talent Intelligence
Every search adds to our map of who is doing ML work, where, and in which teams. We search by first-author papers at the top venues, the code people ship and the models they release, not by title.
None of this is new. The best recruiters have always read papers and code. We just do it for every person, on every search.
You review the list in TalentIQ, one person at a time, with why they fit and the source we read. Advance, Maybe or Pass.
Work with Talent Engine
For recruiters. We don't place anyone, and we never approach your clients. You get the candidates the other agencies on the role haven't sent, checked and ready for your outreach, so you win more of the searches already on your desk.
For hiring teams. We're not an agency, and there's no fee on hire. For each open ML role, your team gets a short list with verified emails and reaches out itself. You keep the relationship with every candidate; we do the research behind it.
Send us one live role and we'll send back the five strongest people for it, checked, free.