Machine Learning Engineer vs Research Scientist

Measured from each occupation's own live postings: mostly different jobs wearing similar names. Posted pay favors the research scientist by about $6k at the midpoint. Salary bands, both switching directions, and the shared skills below, every number from live postings, refreshed nightly.

Machine Learning Engineer

Posted band$78k–$166k
FieldTechnology
Postings read1,862

Research Scientist

Posted band$73k–$183k
FieldScience
Postings read1,626

Switching, both directions

Machine Learning EngineerResearch Scientist

Not scored: the pair shares too few skills in this direction to measure honestly. Run the instrument with your own skill set for a personal read.

Research ScientistMachine Learning Engineer

22% skill readiness

The gap, from machine learning engineer postings: MLOps, ETL, RAG / Vector Search, NLP.

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Quick answers

Which pays more, machine learning engineer or research scientist?

Research Scientist, by about $6k a year at the midpoint. Going by postings that state pay, the posted middle band for a machine learning engineer runs $78k–$166k, and for a research scientist it runs $73k–$183k. We only count postings that state a salary, so these are advertised figures rather than estimates.

Are machine learning engineer and research scientist the same job?

No. Despite the similar names, their postings ask for mostly different skills.

Can a research scientist become a machine learning engineer?

In this direction a typical research scientist profile covers 22% of what machine learning engineer postings ask for.

Method: each occupation’s salary band is the posted 25th–75th percentile from its own corpus; readiness is coverage of the destination’s posting-skill weight; shared skills are read from the overlap waterfall. Pairs sharing too few skills are not scored in that direction. Refreshed with the nightly scrape.

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