Meta
AI Efficiency Software Engineering Manager
Meta, San Francisco, California, United States, 94199
Overview
AI Efficiency Software Engineering Manager This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range: $213,000.00/yr - $293,000.00/yr 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.
Responsibilities
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
Collaborate with cross-functional teams to drive technical innovation and proven experience
Working on both 0->1 as well as mission critical scaled systems in the Advertising Infrastructure stack
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
Foster a work environment of continuous learning, growth, and improvement
Minimum Qualifications
Demonstrated experience recruiting and managing technical teams, including performance management and managing engineers
12+ years, or PhD + 8 years, of software engineering work experience, including technical management
BS or MS in Computer Science, Engineering, or a related technical discipline or equivalent experience
2+ years managing managers, 5+ years managing technical teams
Preferred Qualifications
Expertise in large model Training and Optimization for Ads recommendation systems
Experienced in launching a new AI accelerator with focus on efficiency improvements at scale
Experience in the areas of Performance optimizations and Reliability
Interest in making AI Systems more efficient
About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. 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 accommodations-ext@fb.com.
$213,000/year to $293,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed reflect base salary only. Meta offers benefits. Learn more about benefits at Meta.
Seniority level
Not Applicable
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Technology, Information and Internet
#J-18808-Ljbffr
AI Efficiency Software Engineering Manager This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range: $213,000.00/yr - $293,000.00/yr 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.
Responsibilities
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
Collaborate with cross-functional teams to drive technical innovation and proven experience
Working on both 0->1 as well as mission critical scaled systems in the Advertising Infrastructure stack
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
Foster a work environment of continuous learning, growth, and improvement
Minimum Qualifications
Demonstrated experience recruiting and managing technical teams, including performance management and managing engineers
12+ years, or PhD + 8 years, of software engineering work experience, including technical management
BS or MS in Computer Science, Engineering, or a related technical discipline or equivalent experience
2+ years managing managers, 5+ years managing technical teams
Preferred Qualifications
Expertise in large model Training and Optimization for Ads recommendation systems
Experienced in launching a new AI accelerator with focus on efficiency improvements at scale
Experience in the areas of Performance optimizations and Reliability
Interest in making AI Systems more efficient
About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. 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 accommodations-ext@fb.com.
$213,000/year to $293,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed reflect base salary only. Meta offers benefits. Learn more about benefits at Meta.
Seniority level
Not Applicable
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Technology, Information and Internet
#J-18808-Ljbffr