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Liftoff

HQ
Redwood, California, USA
Total Offices: 3
645 Total Employees
Year Founded: 2012
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Offices at Liftoff

Liftoff is headquartered in Redwood, California, USA and has 3 office locations.

Remote Workplace

Employees work remotely.

We are a remote first company with Hubs located around the world. These Hubs are a place for employees and teams to gather for purposeful, collaborative and productive work and to host events throughout the year.

Typical time on-site: None

U.S. Office Locations

HQ Redwood, California, USA Los Angeles, California, USA New York, New York, USA
HQ
Redwood, California, USA

Our US Headquarters is located in vibrant downtown Redwood City, conveniently located within walking distance from the CalTrain station & a wide variety of retail & dining options.

Los Angeles, California, USA

Our LA Hub is located in the vibrate neighborhood of Westwood near UCLA.

New York, New York, USA

Our New York Hub is located in the NoMad district of NYC.

Recently posted jobs

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Liftoff

Technical Account Manager

17 Hours AgoSaved
Easy Apply
Remote
United States
Easy Apply
AdTech • Big Data • Machine Learning • Marketing Tech • Mobile • Software
As a Technical Account Manager, you will manage client relationships, troubleshoot technical issues, and analyze data for ad performance to ensure client success with Vungle Exchange.
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Liftoff

Senior Staff Machine Learning Engineer, Bidding Intelligence

17 Hours AgoSaved
Easy Apply
Remote
United States
Easy Apply
AdTech • Big Data • Machine Learning • Marketing Tech • Mobile • Software
The role involves building and implementing deep learning models for bidding decisions in auctions, utilizing data sources and working within a collaborative engineering team.
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Liftoff

Senior Staff Software Engineer, ML Training & Serving

17 Hours AgoSaved
Easy Apply
In-Office or Remote
4 Locations
Easy Apply
AdTech • Big Data • Machine Learning • Marketing Tech • Mobile • Software
As a Senior Staff Software Engineer, you will design scalable infrastructure for ML models, optimize performance, and collaborate with teams to enhance ML experimentation tools.
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