Grubhub Holdings Inc.

Grubhub Holdings Inc.

Staff Machine Learning Engineer

New York, NY · Staff+

Sponsorship not specified$209k-$217kDetected 2 days ago
PythonCode ReviewSQLAWSMachine LearningDeep LearningTensorFlowPyTorchData EngineeringNLPLLMsStatisticsA/B TestingResearchLeadershipCollaborationMentoring

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.

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H-1B wage level

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

Level IV · 4×
Level I$109,8451 entry
Level II$137,7172 entries
Level III$165,5893 entries
Level IV$193,4614 entries

This range already reaches Level IV — the maximum four lottery entries.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · New York-Newark-Jersey City, NY-NJ. 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 follow-through: 33%

Of 6 labor certifications old enough to have been used, 4 expired without the employer filing the next step. Median time from filing to decision: 491 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

3 transfer filings in the last year, covering 3 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.

Community outcomes

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About the role

  • About The Opportunity This is a hands-on technical leadership role, not a management role.
  • You will be accountable for how those pieces fit together, not only for any single model.
  • We expect you to challenge technical decisions across teams when the engineering case is clear, and to bring evidence when you do.

Responsibilities

  • Partner with Product, Search Engineering, Ads, and Data Platform to shape roadmaps, surface risk early, and make sure the data and infrastructure exist before the model needs them.
  • Translate technical trade-offs into business terms for product and executive stakeholders, and document the rationale clearly enough that decisions outlive the people who made them.

Requirements

  • Lead the evolution of our optimization objective from short-term conversion toward long-term diner value, including the offline evaluation and online experimentation work required to trust the result before it ships.
  • Experience with Large Language Models and transformer-based architectures, including fine-tuning, embedding generation, and deploying them in latency-sensitive applications.
  • Experience with language understanding over imperfect grammar (real-world search queries, menu and catalog text) is a strong plus
  • Experience with cloud ML infrastructure (AWS/SageMaker or equivalent), model deployment, and production monitoring and observability

Compensation

  • $208,500 - $216,500.
  • Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located.
  • The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience.
  • The benefits applicable to this role include a competitive compensation package with equity and a 401(k).

Benefits

  • The benefits applicable to this role include a competitive compensation package with equity and a 401(k).
  • To learn more about benefits for this role, visit our Careers page here.
  • At Wonder, we build the best teams by hiring with an objective lens - evaluating people for their potential while championing diversity, equity, and inclusion.

Company info

  • As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility.

Equal opportunity

  • If you need an accommodation during the interview process, please let your recruiter know.

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