What are the responsibilities and job description for the Engineering Manager, Multimodal AI position at Meta Inc?
Summary :
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.
Required Skills :
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 :
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 :
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.
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 accommodations-ext@fb.com.
Salary : $213,000 - $293,000
