General Atomics
This supervisory role involves developing and communicating machine learning algorithms and insights to improve product and system performance. The position requires translating technical specifications into code, implementing efficiencies, and applying deep learning technologies to enhance system capabilities. The role also includes leading technical teams, driving code reviews, and integrating external vendor technologies into the team's autonomy stack.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for General Atomics.
General Atomics didn’t post a salary, so this is our estimate from similar listings.
14% below the average for this role
Supervisor Machine Learning Engineer
General Atomics Aeronautical Systems
Supervisor Machine Learning Engineer
General Atomics Aeronautical Systems
Machine Learning Engineer
generalatomicsandaffiliatedcompanies.com
Machine Learning Engineer
General Atomics Aeronautical Systems
Applied Machine Learning Engineer
Hewlett Packard Enterprise
AI and Machine Learning Engineer
Hewlett Packard Enterprise