Striveworks

HQ
Austin
Total Offices: 2
83 Total Employees
43 Product + Tech Employees
Year Founded: 2018

Striveworks Offices

Striveworks is headquartered in Austin 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

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

200 Seaboard Street, Vass, NC, United States, 28394

Recently posted jobs

3 Hours AgoSaved
Easy Apply
Hybrid
Austin, TX, USA
Easy Apply
Artificial Intelligence • Big Data • Computer Vision • Information Technology • Machine Learning • Analytics • Defense
Design, validate, and deploy machine learning models and custom analytic algorithms across image, video, text, geospatial, time-series, and structured data. Work with engineers to implement AI solutions for cloud and edge, monitor model performance, manage drift, and sustain production systems in secure government environments.
5 Hours AgoSaved
Easy Apply
Hybrid
Austin, TX, USA
Easy Apply
Artificial Intelligence • Big Data • Computer Vision • Information Technology • Machine Learning • Analytics • Defense
Lead product vision and roadmap for AI infrastructure and agentic systems. Work with engineering, data science, and sales to define requirements, prioritize features, enable execution, validate deliverables, maintain technical documentation, support go-to-market launches, and track customer feedback and market trends to drive platform strategy and measurable outcomes.
20 Hours AgoSaved
Easy Apply
Hybrid
Austin, TX, USA
Easy Apply
Artificial Intelligence • Big Data • Computer Vision • Information Technology • Machine Learning • Analytics • Defense
As a Machine Learning Engineer, you will develop machine learning models, automate data engineering pipelines, and support customer-centric projects while collaborating with data scientists and engineers.