Machine Learning Engineer

Posted yesterday

hiairaiMillbrae (CA)

Data Scientists Custom Computer Programming Services

SENIORITY

Lead

SALARY

$150,000 per year

Apply

About the role

Own the matching engine and the models that rank every job we show. Hybrid $150,000–$190,000 + equity The matching engine is the heart of Hiair: it scores every job for every candidate on a 0–100 scale and decides what we surface. As our Machine Learning Engineer you own that engine — profile and job embeddings, the scorer, and the periodic sweep that keeps scores fresh. You'll improve retrieval and ranking quality with real offline evaluation, not vibes, and partner with the apply agents to close the loop between what we recommend and what actually converts.

What you'll do: Own the embedding pipeline, the scorer, and the sweep that keeps match scores current. Design and run offline evaluations for retrieval and ranking; ship improvements against real metrics. Work with pgvector/Postgres at scale and keep the scoring path fast and cheap. Close the loop with conversion data so recommendations get better over time.

What we’re looking for: Solid ML/IR fundamentals: embeddings, retrieval, ranking, and how to evaluate them honestly. Strong Python and comfort with production data systems (Postgres, vector search). Experience taking a model or scoring system from notebook to production. Pragmatism about when a simpler model beats a fancier one.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.