Meta

Meta

Software Engineer, Systems ML

New York, New York · Senior

Sponsorship not specified$154k-$217kDetected 125 days ago
PythonC++CDistributed SystemsAlgorithmsMachine LearningDeep LearningPyTorchAI OrchestrationAR/VRResearchLeadership

Stay score

odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). 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

Level II · 2×
Level I$109,8451 entry
Level II$137,7172 entries
Level III$165,5893 entries
Level IV$193,4614 entries

$11,586 more — $165,589 — moves this role to Level III and 3 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 $165,589 would place this position at wage Level III. 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) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

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About the role

  • Meta is seeking an AI Software Engineer to join our Research & Development teams.
  • The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web.

Responsibilities

  • Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta's products and experiences
  • Goal setting related to project impact, AI system design, and infrastructure/developer efficiency
  • Directly or influencing partners to deliver impact through deep, thorough data-driven analysis
  • Drive large efforts across multiple teams
  • Define use cases, and develop methodology & benchmarks to evaluate different approaches
  • Meta builds technologies that help people connect, find communities, and grow businesses.
  • Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Nice to have

  • Experience with distributed systems or on-device algorithm development
  • Experience with recommendation and ranking models
  • Technical leadership experience
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • When Facebook launched in 2004, it changed the way people connect.
  • Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.
  • Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer.

Compensation

  • $154k-$217k

Benefits

  • Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
  • If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
  • $154,003/year to $217,000/year + bonus + equity + benefits
  • Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.
  • In addition to base compensation, Meta offers benefits.
  • Learn more about benefits at Meta.

This listing is sourced directly from Meta's careers page and normalized into a canonical job model.