Engineering Manager, Multimodal AI

Redmond, WA | Menlo Park, CA | Burlingame, CA | New York, NY

Meta

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The Wearables AI organization is seeking an engineering manager to support the Wearables Multimodal AI team. Meta is focused on AI, glasses, and the future of social media. Join the team that’s working at the intersection of the top company priorities.

We shipped the AI Assistant on Ray-Ban Meta smart glasses in 2023, and expanded it with streaming, video AI capabilities in 2024. Join us to have a front seat to building AI for Smart Glasses, and shape the future of everyday computing.Engineering Manager, Multimodal AI Responsibilities
  • Grow a team of Multimodal and Computer Vision experts within the Wearables Multimodal AI team
  • Develop technical vision, long-term strategy and set direction for the team and the organization
  • Drive execution of developing models and systems that are crucial to the end user experience
  • Communicate, collaborate and build relationships with product and peer teams to facilitate cross-functional projects
  • Remain up-to-date on ongoing software development activities in the team, help work through technical challenges and be involved in design decisions
Minimum Qualifications
  • Experience and track record of landing large product impact in a fast-paced environment
  • 5+ years of hands-on experience in large language models, NLP, Computer Vision, in both research and engineering settings
  • 5+ years of experience recruiting, building, structuring, and leading technical organizations, including performance management
  • 2+ years of experience in building decent sized organization and supporting managers
  • Experience in developing large-scale AI systems
  • Experience with cross-functional collaboration with product and platform teams, as well as non-engineering functions
Preferred Qualifications
  • PhD in deep learning, artificial intelligence, computer vision and/ or a related technical field
  • Experience and knowledge of ML frameworks like PyTorch, TensorFlow, etc
  • Experience and knowledge of working with LLM frameworks, especially LLaMa and LLaVA
  • Experience and knowledge of working with on-device AI systems, experience working on AI for autonomous vehicles or robotics a plus.
For those who live in or expect to work from California if hired for this position, please click here for additional information. 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.
213.000 $/year to 293.000 $/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. 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.

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 accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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Tags: Computer Vision Deep Learning Engineering LLaMA LLMs Machine Learning NLP PhD Physics PyTorch Research Robotics Streaming TensorFlow VR

Perks/benefits: Career development Equity / stock options Health care Salary bonus Team events

Region: North America
Country: United States

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