ML Engineer: Search, Recommendations & Personalization

Posted yesterday

francisco partnersMountain View (CA)

Data Scientists Web Search Portals and All Other Information Services

SENIORITY

Senior

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About the role

News Break is seeking a Machine Learning Engineer to build intelligent systems that connect consumers with relevant local information, businesses, and services. You will work across search, recommendation, ranking, retrieval, user‑intent understanding, personalization, and marketplace matching. This hands‑on role will take ML solutions from problem definition and experimentation through production deployment and iteration.

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.