Senior Machine Learning Engineer, Insights at Whoop
Boston, MA
$150,000–$210,000from the description
Jul 6, 2026
Boston, MA
Jul 21, 2026
What this job asks for AI summary
A senior ML engineering role focused on building and operating production systems that deliver personalized health metrics derived from physiological and behavioral data. Day-to-day work involves translating research prototypes into scalable inference pipelines, maintaining ML data infrastructure, and participating in on-call support for live services. Best suited to engineers with hands-on experience shipping and running ML systems in cloud environments at scale.
Senior level · 4+ years · Boston-Cambridge-Newton, MA-NH · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 160 people in the Boston-Cambridge-Newton, MA-NH area plausibly meet what this posting asks for (data scientists). range 65–240
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $134,944 (middle half $104,979–$169,773). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
This role sits at the boundary between ML Engineering (15-1252 Software Developers) and Data Science (15-2051). The JD emphasizes production ML systems, backend service reliability, and deployment over modeling research, which nudges it toward 15-1252; however, the team context (Health Insights, physiological algorithms, applied ML) and the title 'ML Engineer' on a data science team lean toward 15-2051. Medium confidence reflects this genuine ambiguity.
The degree requirement is a Bachelor's in CS, Data Science, Applied Mathematics, or related field; a Master's is preferred but not required — so Bachelor's is the hard floor.
AWS and GCP are listed as alternatives ('AWS or GCP'); AWS is named first and is the more common default, so it is the primary with GCP as the alternative.
Time series data experience (wearable/physiological/sensor) is listed under 'Preferred' and is therefore not a hard gate.
The '2+ years of advanced mathematical and statistical techniques' is also listed under 'Preferred'; the years demanded of 2 is set on the statistical modeling skill to preserve that signal, but it is not a hard requirement.
The posting explicitly states this is an in-office role in Boston, MA, with a relocation requirement — remote=false.
Read the full posting
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