Software Engineer - AI SysML (Technical Leadership)
Meta - Sunnyvale, CA; Bellevue, WA; Menlo Park, CA
Posted Jun 4, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified checked Jun 7, 2026
- Salary
- $219K-$301K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
123% above the BLS role benchmark for software engineering aggregate.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Software Engineer - AI SysML (Technical Leadership) Sunnyvale, CA; Bellevue, WA; Menlo Park, CA Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. 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. We are hiring in multiple locations. Responsibilities: - Drive the organization's goal towards relevant machine learning techniques to build & optimize our intelligent systems that improve Meta's products and experiences - Effectively communicate complex features and systems in detail while advocating for higher product quality and engineering efficiency - Assist in goal setting related to project impact - Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches - Apply in depth knowledge of how the machine learning system interacts with the other systems around it - Understand industry and Meta wide technology trends in computing technology to help assess & develop new technologies within the ML Systems roadmap - Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient - Partner & collaborate with organizational leaders to help improve the level of performance of the team & organization Minimum qualifications: - Vast experience communicating and working across functions to drive solutions - Experience in driving large cross-functional and industry-wide engineering efforts - Proven track record of planning multi-year roadmap in
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