Description
Reality Labs at Meta is helping more people around the world come together and connect through AR and VR hardware and software. RL is committed to driving the state of the art forward through relentless innovation as we recognize AR & VR’s potential to change the world is immense. We are a team with a proven track record of delivering high-quality solutions experts developing and shipping products at the intersection of hardware, software and content. We are the team that creates the data infrastructure that enables cutting edge ML research and development for Meta’s AR and VR products..As an Engineering Manager on data platform you will lead, manage, inspire, and grow a diverse team responsible for supporting the next generation of AR/VR experiences by building data intensive infrastructure and systems to scale machine perception.
Software Engineering Manager Responsibilities
- Lead, coach, and grow a diverse team responsible for data quality frameworks and systems
- Tech leadership to develop, evaluate, understand, and implement data and ML training solutions
- Drive infrastructure efficiency efforts across Reality Labs
- Define strategy for the team. Translate it to goals and clear expectations
- Develop a productive and inclusive work environment based on accountability and impact
- Work with cross-functional partners to understand data quality needs and translate these into system capabilities
- Collaborate across engineering disciplines and geographies
- Recruit talent and provide mentorship to team members
Minimum Qualifications
- Demonstrated experience in people management, communication and cross functional skills
- Ability to understand customer needs and translate these into product vision and roadmap
- Demonstrated experience in driving execution across a multi-disciplinary team (researchers, client and backend engineers, PEs, operations, QA)
- Experience with building distributed services and data processing pipelines and data analysis tool
- BS/MS in Computer Science or a related technical field
- Professional experience architecting, developing, and shipping software products and/or services
- Experience managing cross-functional engineering teams
- Able to thrive in a an environment where goals and requirements may be changing
Preferred Qualifications
- Background in large scale data platforms for ML training
- Experience working with large volume of photos and videos
Locations
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.
Equal Employment Opportunity and Affirmative Action
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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.
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