Meta

Engineering Manager, Multimodal AI

Meta Burlingame, CA

Meta provided pay range

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
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.

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 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.
  • Seniority level

    Not Applicable
  • Employment type

    Full-time
  • Job function

    Engineering and Information Technology
  • Industries

    Technology, Information and Internet

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