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.
The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:
Pay Range: $175,900.00 - $272,600.00
Job Description
Job Summary:
Western Governors University is hiring a Staff Machine Learning Engineer to join our team. This individual will collaborate with cross-functional teams to develop and deploy scalable AI/ML solutions, with a focus on NLP and LLM models. This role combines technical expertise with hands-on contributions to shape the future of Ed Tech at WGU.
Essential Functions and Responsibilities:
- Collaborate in defining NLP/LLM strategies and roadmaps.
- ranslate business needs into AI/ML capabilities in alignment with organizational goals.
- Contribute to the design and development of robust AI systems, ensuring scalability and performance.
- Participate in the ML lifecycle, including research, training, evaluation, and deployment.
- Work with teams to integrate ML solutions into WGU’s ecosystem.
- Stay informed on AI advancements and suggest their practical application.
- Support and mentor junior engineers to build technical expertise and foster growth.
Knowledge, Skill and Abilities:
Strong foundation in ML techniques, deep learning frameworks (e.g., PyTorch, TensorFlow), and cloud-based big data infrastructure.
Proficiency in Python programming and MLOps tools (e.g., Databricks, MLFlow, Sagemaker).
Familiarity with scalable, distributed systems and DevOps practices (e.g., Terraform is a plus).
Hands-on experience with stream-processing systems (e.g., Kafka, Spark Streaming).
Ability to develop and deploy production-grade AI/ML models.
Qualifications:
M.S. or higher in Computer Science, Machine Learning, or a related field.
7+ years of software development in cloud environments.
5+ years in ML, including building and deploying large-scale models.
Demonstrated success in technical roles with cross-functional collaboration.
To explore more about our company and what makes working here special, visit our website at https://www.wgu.edu/about.html. To view current career opportunities and apply, please visit https://www.wgu.edu/about/careers.html.
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Position & Application Details
Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.
How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.
Additional Information
Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive.
Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at [email protected].
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.
