Qualtrics

Qualtrics

Machine Learning Engineer II

Seattle, King County · Mid

Sponsorship not specified$168k-$220kDetected 80 days ago
Machine Learning

Stay score

odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level II · 2×
Level I$111,6131 entry
Level II$143,1042 entries
Level III$174,5953 entries
Level IV$206,0864 entries

$7,095 more$174,595 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $174,595 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Seattle-Tacoma-Bellevue, WA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

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 29 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card intent detected

Qualtrics, LLC obtained a prevailing wage determination for Software Developers in Seattle, WASHINGTON on 2026-06-09. No matching green-card filing appears in our data yet. The determination expires in 1 day (2026-09-06), and a green-card filing must follow before then or the employer starts over.+1 more active determination on file

Green-card follow-through: 100%

Of 34 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 512 days.100% 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

16 transfer filings in the last year, covering 16 workers. Median labor-condition decision: 10 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.

Community outcomes

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About the role

  • At Qualtrics, we create software the world's best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a
  • disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customer…

Responsibilities

  • Building a category takes grit, determination, and a disdain for convention-but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customer…

Compensation

  • $168k-$220k

Company info

  • But we are more than a platform-we are the creators and stewards of the Experience Management category serving over 18K clients globally.
  • At Qualtrics, we create software the world's best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love.

This listing is sourced directly from Qualtrics's careers page and normalized into a canonical job model.