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Data Infrastructure delivers performant, usable, reliable, and efficient platforms and end-user tools for the collection, management, and analysis of data at Meta scale to help teams make data-driven decisions and support data-intensive applications.

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Aria Presto: Making table scan more efficient

Data Infrastructure

Aria Presto: Making table scan more efficient

Extending DHCPLB: The path from load balancer to server for Facebook's DHCP infrastructure

Data Center Engineering MAY 28, 2019

Extending DHCPLB: The path from load balancer to server

HyperLogLog in Presto: A significantly faster way to handle cardinality estimation on Code.fb.com, Facebook's engineering blog

Data Infrastructure DEC 13, 2018

HyperLogLog in Presto: A significantly faster way to handle cardinality estimation

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Making floating point math highly efficient for AI hardware on engineering.fb.com, Facebook's engineering blog

AI Research NOV 8, 2018

Making floating point math highly efficient for AI hardware

Managing data store locality at scale with Akkio on engineering.fb.com, Facebook's engineering blog

Core Infra OCT 8, 2018

Managing data store locality at scale with Akkio

Open-sourcing LogDevice: A distributed data store for sequential data

Core Infra SEP 21, 2018

Open-sourcing LogDevice: A distributed data store for sequential data

2018 @Scale Conference

AI Research SEP 17, 2018

2018 @Scale Conference recap

Research in Brief: Neural Egg Separation: Training ML systems to extract audio and video from noisy, cluttered environments on Code.fb.com, Facebook's Engineering blog

Data Center Engineering SEP 4, 2018

FBOSS: Building switch software at scale and in the open

Core Infra JUL 27, 2018

Systems @Scale 2018 recap

Data Infrastructure JUL 19, 2018

Location-Aware Distribution: Configuring servers at scale

XARs: An efficient system for self-contained executables on engineering.fb.com, Facebook's Engineering blog

Data Infrastructure JUL 13, 2018

XARs: An efficient system for self-contained executables

AI Research JUN 28, 2018

Spiral: Self-tuning services via real-time machine learning

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Related Positions

Data Foundations and Infrastructure Manager

AUSTIN, US
Data Foundations and Infrastructure Manager

MENLO PARK, US
Data Foundations and Infrastructure Manager

WASHINGTON, US
Data Foundations and Infrastructure Manager

NEW YORK, US
Data Foundations and Infrastructure Manager

SAN FRANCISCO, US

Available Positions

Data Foundations and Infrastructure Manager

AUSTIN, US
Data Foundations and Infrastructure Manager

MENLO PARK, US
Data Foundations and Infrastructure Manager

WASHINGTON, US
Data Foundations and Infrastructure Manager

NEW YORK, US
Data Foundations and Infrastructure Manager

SAN FRANCISCO, US

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