Description

The Wearables AI organization is seeking an engineering manager to support the Wearables Language Expansion team. This team shipped the AI Assistant on Meta smart glasses last year, and is working on building core technologies that will make the interactions with the Assistant much more smooth and ubiquitous, available in more languages, and ship it on all upcoming Wearable Meta devices.

Software Engineering Manager, Machine Learning Responsibilities:

• Grow a team of ML experts within the Wearables 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:

• 5+ years of hands-on experience in large language model, NLP, and or speech processing areas, 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, speech processing 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 speech dialog/ conversational AI systems, sentiment analysis, multi-lingual or contextualized speech processing, user evaluation

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.

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.