
About WebAI
Democratizing AI with customizable, local models
Key Highlights
- $77 million raised in seed funding to date
- Decentralized platform minimizes data requirements for AI models
- Unlimited PTO and flexible work week for employees
- Located in Congress Avenue Historic District, Austin, TX
webAI is an Austin-based startup focused on revolutionizing the AI industry by providing a decentralized development platform that minimizes data requirements for building AI models. With $77 million in funding, webAI aims to democratize artificial intelligence by enabling enterprises to create cust...
🎁 Benefits
webAI offers unlimited PTO, performance-based incentives, and a comprehensive health benefits package that includes dental and vision coverage. Employ...
🌟 Culture
webAI fosters a culture centered on democratizing AI, challenging the notion that large datasets are essential for effective AI. The company emphasize...
Skills & Technologies
Overview
WebAI is seeking an AI Engineer to transform state-of-the-art ML models into efficient, production-ready systems. You'll work with Python and TensorFlow in Austin, focusing on AI infrastructure and real-time data processing.
Job Description
Who you are
You have a strong background in software engineering with a focus on AI and machine learning — your experience includes building and optimizing AI systems that operate at scale. You are proficient in Python and have hands-on experience with machine learning frameworks like TensorFlow, which you have used to implement novel AI architectures. Your understanding of CI/CD practices ensures that you can maintain high performance and reliability in production environments.
You thrive in collaborative settings, working closely with research teams to translate cutting-edge AI research into practical applications. Your ability to communicate complex technical concepts clearly makes you an effective team member, and you enjoy mentoring others in best practices for AI development. You are passionate about the potential of distributed AI infrastructure and are eager to contribute to innovative solutions that prioritize data privacy.
Desirable
Experience with Kubernetes and cloud platforms is a plus, as is familiarity with real-time data processing techniques. You are open to exploring new technologies and methodologies that can enhance the efficiency and scalability of AI systems.
What you'll do
As an AI Engineer at WebAI, you will be responsible for designing and implementing efficient, production-ready AI/ML systems. Your role will involve building, documenting, optimizing, and maintaining AI-related software packages and services. You will collaborate closely with research, engineering, and product teams to ensure that the systems you develop meet the evolving needs of a data-driven society.
You will engage in transforming state-of-the-art ML models into highly efficient systems, ensuring they can operate seamlessly at scale. Your work will push the boundaries of what's possible in machine learning, contributing to the development of a distributed AI infrastructure that enables real-time data processing at the edge. You will also be involved in CI/CD processes to ensure that the software you develop is robust and reliable.
What we offer
WebAI offers a dynamic work environment where innovation is at the forefront of our mission. You will have the opportunity to work on groundbreaking projects that shape the future of AI infrastructure. We provide competitive compensation and benefits, along with opportunities for professional growth and development. Join us in our commitment to building a future where AI is accessible, efficient, and respects user privacy.
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