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ICONMA
Posted 2 days agoVerified live 1d ago

Software Engineer II

Brief overview

Remote
UndergradOr in progress
$81–$85/hrStated range
3+ yrsMinimum
68 H-1B approvalsDept. of Labor
12 green cardsCertified filings
Machine Learning Model DevelopmentClassification ModelsProduction Machine Learning SystemsPythonJavaC++GoProduction Software DevelopmentVersion ControlCode ReviewCI/CD

About the company

ICONMA: Your Partner in Global Staffing Solutions and Digital Transformation ICONMA is a globally recognized, Woman-Owned staff augmentation and technology consulting firm.

Visa sponsorship history

4 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
68H-1B approved
94%approval rate
22new H-1B hires
12PERM certified
$125,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202315
202424
202524
20265
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202310
20244
202512
20262
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20232
20245
20255
Top sponsored roles
Data AnalystSoftware DeveloperIOT Software DeveloperInformation Technology Solution/Project ManagerSenior AI Engineer
Sponsored employees from
IndiaIran

Job description

Summary

The client is an Internet Content & Information company. The Software Engineer II will support the WAIST feature across Client and Instagram by managing machine learning classification models, maintaining data quality, and improving ML pipeline reliability. The role also involves delivering software enhancements, troubleshooting issues, collaborating with cross-functional teams, and supporting operational excellence.

Responsibilities

  • Supporting the "WAIST" (Why Am I Seeing This): feature across Client and Instagram
  • Will manage and maintain ML classification models, monitor data quality, analyze dataset integrity, and investigate performance regressions
  • Will also identify system gaps to prevent invalid configurations from begin onboarded and ensure operational excellence by maintaining quality guardrails across ML pipelines
  • This is a temporary role and is not a full-time position at Client
  • The individual in this role will contribute to defined project deliverables, collaborating with cross-functional partners to build, improve, and maintain software systems
  • Deliver well-scoped software enhancements and features aligned to project goals and timelines
  • Write clean, maintainable, and well-tested code following established engineering standards
  • Participate in code reviews and incorporate feedback to improve quality and reliability
  • Troubleshoot, debug, and resolve issues across the development lifecycle
  • Collaborate with cross-functional teams (e.g., product, design, data, security) to support execution of defined deliverables
  • Create and maintain technical documentation for implemented solutions
  • Contribute to operational excellence, including monitoring, incident response support, and performance improvements as needed

Skills

  • Experience with developing evaluated machine learning models particularly classification models
  • Experience building or supporting ML systems in production environments
  • 3+ years of professional software engineering experience
  • Proficiency in one or more general-purpose programming languages (e.g., Python, Java, C++, Go, or similar)
  • Experience building, testing, and maintaining production-quality software
  • Experience with common development practices and tools (e.g., version control, code review, CI/CD)
  • Strong problem-solving skills and ability to work effectively in a fast-paced environment
  • Bachelor's degree in Computer Science, Computer Engineering, or a related field (or equivalent practical experience)
  • Experience at Client would be preferred
  • Experience at similar companies such as Google, Apple, Uber, Netflix etc

Qualifications

Must Haves

  • Experience with developing evaluated machine learning models particularly classification models
  • Experience building or supporting ML systems in production environments
  • 3+ years of professional software engineering experience
  • Proficiency in one or more general-purpose programming languages (e.g., Python, Java, C++, Go, or similar)
  • Experience building, testing, and maintaining production-quality software
  • Experience with common development practices and tools (e.g., version control, code review, CI/CD)
  • Strong problem-solving skills and ability to work effectively in a fast-paced environment
  • Bachelor's degree in Computer Science, Computer Engineering, or a related field (or equivalent practical experience)

Nice to Haves

  • Experience at Client would be preferred
  • Experience at similar companies such as Google, Apple, Uber, Netflix etc

Benefits

  • Health Benefits
  • Referral Program
  • Excellent growth and advancement opportunities

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