Apple

Apple

ML - Data Scientist

Sunnyvale

Sponsorship not specifiedDetected 5 hours ago
Machine LearningData Science

Stay score

odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 4 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 38%

Of 13 labor certifications old enough to have been used, 8 expired without the employer filing the next step. Median time from filing to decision: 383 days.96% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

785 transfer filings in the last year, covering 785 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Do you want to decide whether a generative imaging feature is good enough to ship?
  • Our team evaluates generative image and video features.
  • These features reach a very large number of people on Apple devices.

Responsibilities

  • You will build the evaluation systems, human-annotation programs, and automated metrics that turn "this looks better" into measurable, trustworthy quality signals.
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This listing is sourced directly from Apple's careers page and normalized into a canonical job model.