Mindlance
Posted 2 days agoVerified live 12h ago
Software Engineer II
Brief overview
Remote
UndergradOr in progress
$60–$84/hrStated range
3+ yrsMinimum
135 H-1B approvalsDept. of Labor
12 green cardsCertified filings
Machine Learning Model DevelopmentMachine Learning Classification ModelsProduction Machine Learning SystemsPythonProduction-Quality Software DevelopmentCI/CD
About the company
Mindlancemindlance.com
Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services
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.135H-1B approved
97%approval rate
29new H-1B hires
12PERM certified
$134,674median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202328
202440
202551
202616
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202314
202414
202534
202610
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20234
20242
20255
20261
Top sponsored roles
Software EngineerInformatica MDM AdminAb Initio DeveloperFront-End DeveloperSystems Test Engineer
Sponsored employees from
India
Job description
Summary
Mindlance is recruiting a temporary Software Engineer II to support time-bound engineering initiatives involving the WAIST feature across Facebook and Instagram. The role maintains machine learning classification models, monitors data and dataset quality, investigates performance regressions, and contributes to software development, operational excellence, and cross-functional project delivery.
Responsibilities
- 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 Meta 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 Meta would be preferred
- experience at similar companies such as Google, Apple, Uber, Netflix etc
Benefits
- Remote work arrangement
