Job Description

Meta is seeking an AI Specialist to advance the science and technology of intelligent machines, leading projects and mentoring teams in machine learning and AI research.

Requirements

Specialized experience in machine learning/deep learning domains such as NLP, reinforcement learning, deep learning, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
Experience developing language algorithms or language infrastructure in C/C++ or Python
PhD in Computer Science, Computer Engineering, or relevant technical field (preferred)
4+ years of work experience post PhD in a role with primary emphasis on AI research (preferred)
4+ years of experience as technical lead for a project of 4 or more individuals (preferred)
4+ years of experience with developing scalable machine learning models in specified areas (preferred)
Experience with large scale model training and evaluating systems (preferred)
Experience solving complex problems and comparing alternative solutions (preferred)
Experience working and communicating cross-functionally in a team environment (preferred)
First author publications experience at peer-reviewed AI conferences (preferred)

Responsibilities

Help advance the science and technology of intelligent machines
Assist in goal setting related to project impact and system architecture
Develop custom/novel architectures, define use cases, and develop methodology & benchmarks
Apply in-depth knowledge of machine learning system interactions
Technically lead in a team environment across multiple disciplines
Mentor other AI Engineers & improve quality of AI work
Drive team's goals and technical direction
Effectively communicate complex features and systems
Develop clean readable code and debug complex problems
Understand industry & company-wide trends
Partner & collaborate with organization leaders
Identify new opportunities for the organization
Work on research projects of moderate to high complexity
Influence progress of relevant research communities
Establish connections with cross-functional partners
Design policies, processes, procedures, methods, tests, and/or components