A cleared AI/ML career is a story with direction — where someone started, what they took on next, and where their momentum is pointing. ClearedMatch evaluates candidates on that trajectory and the fit it implies, then reaches out with a personalized case for one specific mission. Here's a worked example, end to end.
What the mission truly depends on — the load-bearing skills, not the wish-list.
The candidate's arc: direction, momentum, and the rare combinations they've earned.
Our value model scores how much of the mission this person is uniquely positioned to carry.
One message that speaks to where they're heading — not a blast, not a hard sell.
Follow a single match from the raw inputs to the message that lands in an inbox.
We don't count keywords. We look at how a career compounds — and at which parts of it are load-bearing for this specific mission: the skills and experiences that many of the role's needs quietly depend on.
The more you tell us, the sharper this gets. Employers and candidates can volunteer as much or as little as they like — the real must-haves behind a job description, what a team is actually trying to build, or on the candidate's side, the kind of work someone wants next, constraints on location or travel, what would make a move worth it. Every extra piece either side chooses to share makes the win/win we're solving for more specific and more honest. Nothing is required, and nothing is shared without permission.
Under the hood: those readings come from a rigorous, first-principles model of value we've built over years — one that measures a career from the candidate's own perspective: what they've genuinely earned, how much of a mission they're positioned to carry, and how naturally the next step follows from the last. The equations are ours. What you see here is what they produce.
Hi Alex,
I'll keep this short. Your path stood out to us — data engineering, into modeling, into shipping computer-vision models to the edge inside a SCIF. That's not a common line to have walked, and it's not an accident: each step clearly set up the next.
There's a program in the McLean corridor whose hardest problem is exactly the thing you did most recently — CV at the edge, in accredited spaces, with real MLOps behind it — and it needs someone who already holds a TS/SCI. On paper, that's a very short list of people. You're on it.
I'm not going to oversell it. What I'll say is that it looks like a natural next step rather than a sideways move — more scope, same direction you're already pointed. If that's interesting, a 15-minute call would tell you quickly whether it's worth your time. Fully confidential — nothing gets back to your current program.
Worth a conversation?
Why it works: it references the candidate's actual trajectory, names the one rare thing that makes them a fit, frames the role as continuity, not a gamble, and stops before it oversells. Every candidate gets a message this specific — generated from their own career, at scale.
The scarcest talent in America deserves to be approached like it. Three ideas separate our matching and outreach from a job board's.
We read where someone has been heading, not just where they are. The best next role continues the line — and that's what makes an outreach land instead of annoy.
We identify the few experiences the role genuinely depends on — the ones many requirements quietly rest on — and weight those, instead of rewarding whoever stuffed the most buzzwords.
We evaluate a match by what it's worth to the candidate's own career, not only the employer's checklist. A rigorous value model makes that measurable — quietly, in the background.
We're constantly analyzing what actually constitutes a win for the employer and a win for the person — and we'll use as much information as each side cares to volunteer to sharpen that picture. A placement only holds if both halves are true, so that's the bar we hold ourselves to before anyone gets a message.
One set of signals says what a mission truly depends on; another says what a person is reaching for. We only reach out where those two point at each other.
This is one experimental part of what makes ClearedMatch different, and we're optimistic about it. An expert recruiter reviews and approves every match and every message — the model does the reading and the first draft; a human always makes the call. What excites us is what that combination unlocks: it lets us give nuanced but unambiguous guidance to every recruiter, so deeply personal outreach becomes something we can do consistently, at scale.
Every candidate contact is reviewed and sent by a cleared-hiring expert. 100% of the time.
It reads trajectories and drafts the personalized case — the tedious part — so recruiters spend their judgment where it counts.
Nuanced but unambiguous best practices, applied uniformly — so our best recruiter's instincts become the whole team's standard.
We'll take a real role and show you the shortlist — and the kind of outreach each candidate would receive.
Book a call A short intro with our team — no obligation.