Mitchell Martin, Inc.

Mitchell Martin, Inc.

ML Engineer

Queens, New York, USA · Full-time

Sponsorship not specified$126k-$180kDetected 117 days ago
PythonSQLCloud PlatformsMachine LearningData AnalysisData ScienceOnboardingControlsCommunicationCollaboration

Stay score

odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). 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 I · 1×
Level I$109,8451 entry
Level II$137,7172 entries
Level III$165,5893 entries
Level IV$193,4614 entries

$11,717 more — $137,717 — moves this role to Level II and 2 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 $137,717 would place this position at wage Level II. 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) · 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 filing pattern in this occupation

Context, not a finding about this posting: of this employer's 14 green-card filings in this occupation, 93% were for a worker who already held the job.

Third-party placement is common here

99% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 17 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Bank of America · SUMITOMO MITSUI BANKING CORPORATION · CitigroupFiles as an H-1B dependent employer.

Green-card follow-through: 89%

Of 9 labor certifications old enough to have been used, 1 expired without the employer filing the next step. Median time from filing to decision: 498 days.93% 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

34 transfer filings in the last year, covering 34 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

  • Conduct comprehensive data analysis to guide model optimization.
  • Work with engineering teams to deploy models via APIs.
  • Engage with cross-functional teams to integrate data solutions into products.

Responsibilities

  • Create and maintain feature engineering pipelines.
  • Evaluate and optimize model performance.
  • Collaborate on model deployment and integration.
  • Proven experience in developing and deploying predictive models.
  • Core Technologies Python | SQL | Cloud Platforms | Data Warehouses | AI APIs | Version Control Systems Contact Authorization By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods.
  • This full-time role involves developing predictive models to enhance client solutions.
  • You will work with advanced data technologies to deliver actionable insights and integrate models into products.
  • Develop and refine predictive models focusing on specific client needs.
  • Collaborate on feature engineering pipelines for model training.
  • Implement evaluation methodologies to enhance model performance.

Compensation

  • $180,000 Per Year Description Join a dynamic team as a Machine Learning Engineer in Long Island City, NY.

Benefits

  • Lead the development of machine learning models.
  • Expertise in machine learning techniques and data manipulation.
  • Stay updated on the latest data science and machine learning developments.
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This listing is sourced directly from Mitchell Martin, Inc.'s careers page and normalized into a canonical job model.