Title: Optimization Engineer
Company: webAI, Inc.
Location: Austin, TX
Type: Full-Time, Salaried Exempt
Experience: 5+ years
Education: Bachelor’s Degree, minimum
About Us:
webAI is a software company that is building a decentralized AI development platform. Our technology enables the development of powerful AI using limited amounts of data, challenging the underlying assumption that big data is the key to unlocking the full power of AI. webAI offers opportunities to join a dynamic and fast-growing team that fosters a fun and growth-oriented office culture.
We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:
Role Overview
We're seeking an Optimization Engineer to join our team and drive the performance improvements of our AI systems. In this role, you'll work on optimizing AI models, runtime environments, and infrastructure to ensure maximum efficiency and minimal resource usage across various local deployment scenarios.
Key Responsibilities
Requirements
Benefits:
webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.
•Last updated on Aug 19, 2024
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