Striveworks

HQ
Austin, Texas, USA
Total Offices: 2
67 Total Employees
Year Founded: 2018
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Offices at Striveworks

Striveworks is headquartered in Austin, Texas, USA and has 2 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible

U.S. Office Locations

HQ Austin, Texas, USA Vass, North Carolina, USA
HQ
Austin, Texas, USA
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Striveworks is located in Austin Oaks' 38-wooded acres at the corner of Spicewood Springs Road and MoPac Expressway, less than a mile away from 50+ locally owned retail shops and restaurants for after-work fun. It's just minutes from Anderson Lane Retail, The Domain, Arboretum, and Downtown Austin.

Vass, North Carolina, USA
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200 Seaboard Street, Vass, NC, United States, 28394

Recently posted jobs

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Striveworks

Staff Machine Learning Engineer

YesterdaySaved
Easy Apply
Remote or Hybrid
2 Locations
Easy Apply
Artificial Intelligence • Big Data • Computer Vision • Information Technology • Machine Learning • Analytics • Defense
The Staff Machine Learning Engineer will lead the development of AI solutions, ensure project delivery, and manage technical teams while interfacing with customers. Responsibilities include designing data pipelines, overseeing machine learning model development, and facilitating customer engagement.
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Striveworks

Senior DevOps Engineer

3 Days AgoSaved
Easy Apply
Remote or Hybrid
2 Locations
Easy Apply
Artificial Intelligence • Big Data • Computer Vision • Information Technology • Machine Learning • Analytics • Defense
As a Senior DevOps Engineer, you'll manage product deployments, automate infrastructure, and ensure software reliability while collaborating cross-functionally and responding to incident reports.
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Striveworks

Senior Software Engineer

12 Days AgoSaved
Easy Apply
Remote or Hybrid
2 Locations
Easy Apply
Artificial Intelligence • Big Data • Computer Vision • Information Technology • Machine Learning • Analytics • Defense
As a Senior Software Engineer, you will develop, deploy, and maintain production ML models, lead projects, and collaborate across teams using various programming languages and tools.
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