Insight Global

Insight Global

Machine Learning Systems - Software Engineer II

Lynchburg, Virginia · Mid

Sponsorship not specified$0k-$0kDetected 72 days ago
PythonC++Distributed SystemsLinuxMachine LearningData EngineeringData ScienceResearch

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level I)39
Fits your clock70

Thin sponsorship signal and lottery-bound (~15% per draw). 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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H-1B wage level

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

Level I · 1×
Level I$55,5361 entry
Level II$76,6062 entries
Level III$97,6773 entries
Level IV$118,7474 entries

The bottom of this range ($40) is below the Level I prevailing wage of $55,536. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.

DOL prevailing wage, 2026-27 wage year · Computer Occupations, All Other (15-1299) · Lynchburg, VA. 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

Third-party placement is common here

67% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 84 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Bank of America · AT&T, · Goldman Sachs

Green-card follow-through: 67%

Of 9 labor certifications old enough to have been used, 3 expired without the employer filing the next step. Median time from filing to decision: 486 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

200 transfer filings in the last year, covering 200 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

  • We are seeking a Software Engineer II, Machine Learning Systems, to help deploy and operationalize machine learning solutions used in non-destructive testing applications within the nuclear industry.
  • This is not a research-focused data science role.
  • Instead, the position centers on machine learning system integration, deployment, infrastructure awareness, and engineering execution.

Nice to have

  • Skills & Experience
  • Experience deploying ML applications in air-gapped or constrained environments.
  • Experience integrating ML workflows with legacy applications.
  • Experience implementing logging, observability, error handling, and performance monitoring.
  • Experience with object storage, dataset versioning, artifact management, or model synchronization workflows.
  • Experience supporting distributed systems or deployments that span multiple machines.
  • Experience working with binary data such as images, video, signals, ultrasonic inspection data, or eddy current inspection data.
  • Experience with Microsoft Azure.

Compensation

  • $0k-$0k

Benefits

  • In this role, you will support the development of machine learning workflows by ensuring they can be packaged, deployed, and maintained in reproducible, stable environments for pilot and production use.
  • You will work closely with data scientists and subject-matter experts to validate solutions, implement deployment best practices, and integrate machine learning capabilities into existing systems.

Company info

  • Job Description We are seeking a Software Engineer II, Machine Learning Systems, to help deploy and operationalize machine learning solutions used in non-destructive testing applications within the nuclear industry.
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This listing is sourced directly from Insight Global's careers page and normalized into a canonical job model.