Plaza is a trust layer for finding collaborators. It unifies GitHub proof-of-work, LinkedIn professional identity and live availability into a single structured signal that answers three questions about any potential collaborator: are they credible, are they open to collaborating right now, and is it safe to contact them?

How does Plaza verify that a builder is credible?

Plaza uses a dual-source trust gateway: you sign in with GitHub and LinkedIn, anchoring identity to both your work graph and your career graph. A Trust Score is then composed from verified activity — real commit history and ownership evidence — not self-declared claims.

How does matching work?

Plaza matches collaborators by meaning, not keywords, using semantic embeddings of skills, projects and needs. Every recommendation comes with a human-readable Match Reason — no match is ever shown without explaining why.

Will Plaza spam my inbox?

No. Contact is controlled — it can only be initiated through a structured collaboration request, and raw contact details are never exposed. It is built to eliminate cold-DM spam.

How much does Plaza cost and when can I use it?

Plaza is in early access development. Join the waitlist and we'll email your invite when it opens — no charge to register interest.

How does Plaza verify a Machine Learning Engineer's skills?

Plaza builds a Trust Score for every Machine Learning Engineer candidate from verified activity — real GitHub contribution history and ownership evidence plus LinkedIn identity — not a self-declared resume. Each match shows the evidence behind it and a gap analysis against your role's requirements.

Is Plaza a Machine Learning Engineer job board?

Plaza is a matching layer, not a job board. Instead of a wall of applicants, you get Machine Learning Engineer candidates ranked by evidenced skill and availability, each with a human-readable reason — and you reach out through a controlled, spam-free request.

Hire · matched by verified skill

Hire a Machine Learning Engineer, ranked by real evidence.

Plaza matches you with Machine Learning Engineer candidates — applied-ML engineers who ship models to production — whose skill is proven by GitHub activity and LinkedIn identity, not a polished resume. Every candidate arrives with a Trust Score, the evidence behind it, and a gap analysis against your role.

Get early access →See a live match preview

Why Plaza for hiring Machine Learning Engineers

Evidence, not applications.

Verified skill

A Trust Score from real Machine Learning Engineer activity and ownership evidence — you see the proof, not just claims.

Gap analysis

Every match is scored against your role, with a clear note on where a candidate is strong and where a gap remains.

No inbox spam

Reach out through a structured request instead of a flood of applications — relevant candidates, contextual intros.

More roles

Hire by role.

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Early access

Find your next Machine Learning Engineer.

Plaza is opening in early access. Join the waitlist and we’ll email your invite.