Meta AR/VR Job | Manager, Software Engineering - Meta AI
Job（岗位）: Manager, Software Engineering - Meta AI
Type（岗位类型）: Artificial Intelligence
Citys（岗位城市）: Burlingame, CA
Date（发布日期）: 2023-5-27
Summary（岗位介绍）
We are looking for AI Engineering Managers to join the Meta Smart Glass AI team. Our mission is to power AI services that understand the user's input, reason over it, retrieve the right information from various sources, and enable natural interactions. This org focuses on Knowledge-enriched next-gen AI with both Cloud based large language models and On-Device ML models. The team collaborates closely with researchers and engineers within and outside Meta to develop novel ML systems. Our team is made up of strong research scientists and engineers and we are always on the lookout for people who are passionate about the AI-centric next-gen computing platform and excited about pushing advanced AI at production scale.
Qualifications（岗位要求）
5+ years work experience as an engineer developing products related to Conversational AI or similar
Knowledge of Natural Language Understanding, Information Retrieval, Multi-modal AI
2+ years experience directly managing a team of engineers
Experience shipping multiple products across various platforms
MS degree in Computer Science or related quantitative field with 5+ years of similar experience, or Ph.D. degree in Computer Science or related quantitative field
Knowledge of machine learning and deep learning research in general
Experience building systems based on machine learning and/or deep learning methods
Experience with filesystems, server architectures, and distributed systems
Description（岗位职责）
Manage and support an engineering team responsible for the systems and technologies applicable across the product
Have a strong product sense and can connect the product needs with the underlying machine learning tech required to build them
Define and manage success metrics across teams
Identify opportunities to share technology across teams and manage partnership opportunities with internal cross-functional partners
Evangelize technical solutions, frameworks, and best practices across the team and org
Guide research scientists and engineers in building state of the art in Conversational AI systems
Provide guidance in developing highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies
Apply expertise and skills to platform development projects in partnership with other engineering teams
