matchpoint solutions

matchpoint solutions

5G AI/ML & Application Modernization Engineer

Maryland Heights, Saint Louis County

Sponsorship not specified$104k-$114kDetected 118 days ago
Machine Learning5G/LTE

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odds of building a lasting career here

47Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

50% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 3 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: SANOFI · BNY MELLON · STELLANTIS

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. 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

  • MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US.
  • We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more!
  • More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India.

Compensation

  • $104k-$114k

Company info

  • Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome.
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This listing is sourced directly from matchpoint solutions's careers page and normalized into a canonical job model.