WebAI

About WebAI

Democratizing AI with customizable, local models

👥 21-100 employees📍 Congress Avenue Historic District, Austin, TX💰 $77m
B2BArtificial IntelligenceMachine LearningSaaSCloud Computing

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...

WebAI

Machine Learning Engineer Senior

WebAIAustin

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Overview

WebAI is seeking a Senior Machine Learning Engineer to develop and deploy state-of-the-art NLP models. You'll work with technologies like Large Language Models and MLOps practices in Austin, TX.

Job Description

Who you are

You have a strong background in machine learning and artificial intelligence, with a focus on Natural Language Processing (NLP) and Large Language Models (LLMs). Your expertise includes working with transformer models and advanced text analytics, allowing you to develop innovative solutions that meet the evolving needs of a data-driven society.

With experience deploying production-level NLP models, you understand the complexities of real-time data processing and the importance of maintaining data privacy. You are well-versed in MLOps practices and scalable cloud infrastructure, ensuring that the models you build are efficient and effective.

You thrive in collaborative environments, working closely with research and engineering teams to design, build, and optimize models that handle both structured and unstructured language data. Your ability to preprocess and prepare text datasets is complemented by your strong analytical skills, enabling you to derive insights from complex data.

Desirable

Experience with cutting-edge NLP frameworks and libraries is a plus, as is familiarity with the latest research in language models. You are passionate about staying updated with advancements in AI technology and are eager to apply your knowledge to real-world applications.

What you'll do

In this role, you will design, build, and fine-tune LLMs and NLP models for various tasks, including language understanding and generation. You will extend webAI’s existing LLM frameworks and libraries, incorporating the latest research to enhance our platform's capabilities.

You will collaborate with cross-functional teams to ensure that the models you develop align with the company's vision of distributed AI infrastructure. Your responsibilities will include optimizing models for performance and scalability, as well as conducting experiments to validate their effectiveness.

You will also play a key role in preprocessing and preparing text datasets, ensuring that the data used for training is of high quality. Your insights will help shape the direction of our AI initiatives, contributing to the development of groundbreaking technology that empowers users.

What we offer

At webAI, you will be part of a forward-thinking team dedicated to revolutionizing AI technology. We offer a dynamic work environment where innovation is encouraged, and your contributions will have a direct impact on our success. You will have opportunities for professional growth and development, as well as access to the latest tools and resources in the field.

We believe in fostering a culture of collaboration and support, where every team member's voice is valued. Join us in building a future where AI is accessible, efficient, and respects user privacy.

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