Engineering Manager, AI at Meta - Redmond, United States - META

Description

The Augmented Reality AI Org at Meta is seeking a strong technical leader to join our team and work on the next generation of AI Experiences on smart devices.

As a technical leader in the team, you will play a critical role in building the core AI tech powering the experiences on Meta's Smart Glasses, AR Glasses and Quest devices.

We have the opportunity to build the next computing platform powered by the latest and greatest AI technologies.

Last year we launched the AI Assistant on Ray-Ban Meta Smart Glasses, and we are working on making it a truly human-like Assistant that can see what you see and hear what you hear, helping users get things done in the most ubiquitous way.

Engineering Manager, AI at Meta Responsibilities

Grow teams of AI and NLP experts
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
Present the team's work and plans in cross-company executive forums
Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects

Minimum Qualifications

Experience and track of record in landing large product impacts in a fast-paced environment 5+ years of hands on experience in large language model, NLP, and/or multimodal modeling, in the setting of both research and engineering development
5+ years of hands on supporting and leading teams of software engineers and research scientists
2+ years of experience in building decent size organizations and supporting managers
Experience in developing large-scale AI services
Experience with cross functional collaboration with product and platform teams, as well as non-engineering functions
Demonstrated experience recruiting, building, structuring, leading technical organizations, including performance management

Preferred Qualifications

PhD in deep learning, artificial intelligence, and/or related technical field
Experience and knowledge of ML frameworks like PyTorch, TensorFlow, etc.
Experience and knowledge of training and finetuning LLMs
Experience and knowledge of multi-modal modeling and computer vision

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