Staff Machine Learning Engineer

webAI is at the forefront of revolutionizing AI development with their decentralized platform that challenges the conventional wisdom of big data requirements. As a Staff Machine Learning Engineer, you'll play a crucial role in developing and optimizing Large Language Models (LLMs) and Mixture of Experts (MoEs) models. This position offers an opportunity to work with cutting-edge AI technology while leading and mentoring a team of engineers.

The role demands a blend of technical expertise and leadership skills, requiring at least 5 years of experience in machine learning and an advanced degree, preferably a Ph.D. You'll be responsible for conducting innovative research, implementing advanced AI models, and ensuring their successful integration into the platform. The position offers a comprehensive benefits package including health coverage, wellness stipends, and flexible work arrangements.

webAI's culture is built on strong core values of Truth, Ownership, Tenacity, and Humility. The company provides a dynamic and growth-oriented environment where innovation is encouraged and professional development is supported. Located in Austin, TX, the position offers the opportunity to work with a fast-growing team while contributing to the advancement of AI technology that can operate effectively with limited data sets.

The ideal candidate will have a proven track record in machine learning, particularly with LLMs and MoEs, strong programming skills in Python and popular ML frameworks, and the ability to lead complex projects. This role is perfect for someone who is passionate about pushing the boundaries of AI technology while mentoring others and contributing to a collaborative team environment.