Develop highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies; design, research, and implement new AI techniques; adapt ML methods to modern parallel environments; gather data for training; train ranking models; conduct experiments; improve Meta's platforms; present economic and game-theoretic analyses; develop scalable classifiers and tools.
Locations (4)
Redmond, Washington, United States
Burlingame, California, United States
New York, New York, United States
Seattle, Washington, United States
Responsibilities
Develop highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies
Suggest, collect, and synthesize requirements and create effective feature roadmap
Code deliverables in tandem with the engineering team
Adapt standard machine learning methods to best exploit modern parallel environments
Perform specific responsibilities which vary by team
Requirements
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD in Computer Science, Computer Engineering, or relevant technical field
Nice to have: PhD
Nice to have: first author publications at peer-reviewed AI conferences
Develop highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies and research, design, and develop new algorithms and techniques to improve the efficiency and performance of Meta's platforms.
Locations (4)
Redmond, Washington, United States
Burlingame, California, United States
New York, New York, United States
Seattle, Washington, United States
Responsibilities
Develop highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies
Suggest, collect, and synthesize requirements and create effective feature roadmap
