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AI Efficiency Software Engineering Manager
- Meta (Menlo Park, CA)
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Summary:
We are the Monetization Capacity, Efficiency and Hardware Co-Design Organization. We are part of Monetization Infra, which is responsible for all of Meta Ads Revenue (98% of all Meta Revenue). Our org has been specifically formed to address the biggest challenge facing Meta today - the lack of machine resources needed to empower our Ads, ML and AI platforms to unblock new revenue opportunities for Meta. Our work is a top priority for the Monetization org and for the broader company, with C-suite level visibility and aggressive funding to address the issue. We work on ML Inference and Training projects across the Monetization infra services improving efficiency across next generation AI Hardware MTIA, Nvidia, and AMD accelerators. This spans across: model co-designing, low level optimizations, distributed system, and data infrastructure.
Required Skills:
AI Efficiency Software Engineering Manager Responsibilities:
1. Land massive impact by working on business critical Machine Learning Inference and training systems to enable top company and Monetization priorities and accelerate Revenue Growth for the company
2. Collaborate with cross-functional teams to drive technical innovation and proven experience
3. Working on both 0->1 as well as mission critical scaled systems in the Advertising Infrastructure stack
4. You will have the opportunity and scope for faster career growth through working on projects that impact the company’s topline in an organization with planned growth for the next several halves
5. Foster a work environment of continuous learning, growth, and improvement
Minimum Qualifications:
Minimum Qualifications:
6. Demonstrated experience recruiting and managing technical teams, including performance management and managing engineers
7. 12+ years, or PhD + 8 years, of software engineering work experience, including technical management
8. BS or MS in Computer Science, Engineering, or a related technical discipline or equivalent experience
9. 2+ years managing managers, 5+ years managing technical teams
Preferred Qualifications:
Preferred Qualifications:
10. Expertise in large model Training and Optimization for Ads recommendation systems
11. Experienced in launching a new AI accelerator with focus on efficiency improvements at scale
12. Experience in the areas of Performance optimizations and Reliability
13. Interest in making AI Systems more efficient
Public Compensation:
$213,000/year to $293,000/year + bonus + equity + benefits
**Industry:** Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].
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