Insight Global
Machine Learning Engineer
Lynchburg, Virginia · Mid
Stay score
odds of building a lasting career here
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.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$3,405 more — $98,405 — 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 $98,405 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) · 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
Green-card filing pattern in this occupation
Third-party placement is common here
Green-card follow-through: 67%
Files H-1B transfers
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
- Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching.
- Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
- Early projects will have well-defined scopes focused on technical execution, with more flexibility and responsibility for shaping deployment patterns as the team grows.
Responsibilities
- You will work as an ML systems engineer building software for non-destructive testing in the nuclear industry (e.g., visual, ultrasonic, eddy current).
- Your role will be to support the development of the ML workflows by ensuring that they can be deployed in reproducible, stable workflows for pilot use.
- You'll collaborate with subject-matter experts to validate solutions and follow best practices for packaging, observability, and integration into existing systems.
- Build data adapters or ETL workflows to convert legacy scientific/industrial formats into ML‑ready datasets; support local artifact and dataset management in constrained environments.
- Implement structured logging, error handling, and performance tracing to support debugging and diagnostics without overengineering.
- Develops stronger intuition for failure modes in pilot deployments and proactively mitigates them before field testing.
- Develops intuition for hardware variability, data inconsistencies, runtime edge cases, and integration friction, and introduces pragmatic safeguards and diagnostics before issues surface in field testing.
Requirements
- Bachelor's degree in Computer Science, Physics, Software Engineering, Applied Mathematics, Data Science, or equivalent degrees with the appropriate technical background; advanced degrees (MS/PhD) welcome but not expected
Compensation
- Exact compensation may vary based on several factors, including skills, experience, and education.
Benefits
- 2-5 years of professional software engineering experience, with at least 1 of those years in a hands-on role in a machine learning engineering or data science context
This listing is sourced directly from Insight Global's careers page and normalized into a canonical job model.