Principal Machine Learning Engineer.

If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families. Job Profile Summary: The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. You serve as a technical leader on the most demanding, cross-functional projects and lead the team to build AI/ML products, particularly NLP and LLM, and execute large NLP/LLM models on a cloud environment at scale. As a principal member of the team, you work on our hardest problems and make the toughest decisions. You have strong technical judgment and influential skills to advocate good ML practices, challenge the current state, propose innovative ideas, and drive business-critical discussions. You can provide architectural guidance and detailed technical direction while fostering a continuous delivery culture. The perfect candidate should be able to educate stakeholders, mentor team members and, with a strong vision for how the ML discipline can proactively create positive impacts, have a significant stake in defining the future of the Ed Tech function for WGU.

Essential Functions and Responsibilities: * Work closely with the managers to define NLP initiatives, roadmaps and strategies. * Collaborate with business stakeholders and product team to understand and convert business requirements into requisite NLP capabilities. * Lead the architecture, design and development of complex AI systems. * Possess expert knowledge in our ML solutions and systems and ensure scalability, performance, and maintainability of them. * Drive best practices for ML development and validation, code reviews, and documentation. * Execute the entire ML development lifecycle including model research, data processing, model training and fine-tuning, model experimenting and evaluation, model improvement, as well as model deployment. * Research, Develop, deploy, and optimize state-of-the-art GenAI/NLP/LLM/Agent models for diverse NLP applications. * Collaborate with the Data Engineer team to develop and implement the data processing pipeline to ensure high-quality input for model training and inference. * Collaborate with the MLOps team to deploy ML/LLM models to production environment, ensuring scalability, reliability, and performance. * Collaborate with the Software, Infrastructure, and Security teams to integrate ML solutions seamlessly into WGU eco-system. * Stay up to date with the state-of-the-art technologies of AI Agent, LLM, NLP, and Deep Learning, and proactively apply them to our use cases to drive innovation of WGU. * Provide technical leadership and mentorship to a team of ML engineers. Assist in their career development and help managers guide the career growth of their team members. * Follow Agile, ML best practices and company's processes. * Communicate status and updates with leadership, team members and other teams. Knowledge, Skill and Abilities: *... For full info follow application link.

Western Governors Univeristy is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, age, national origin, disability, veteran status, sexual orientation or any other classification protected by federal, state or local law.