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:
Job Description
Job Summary:
Western Governors University is hiring a Machine Learning Engineer to join our team onsite in Salt Lake City, Utah. This role focuses on developing and deploying scalable AI/ML solutions, particularly in NLP and LLM models, to enhance WGU’s Ed Tech ecosystem. You’ll collaborate with cross-functional teams, bringing your technical expertise to solve real-world challenges and advance WGU’s mission.
Essential Functions and Responsibilities:
Contribute to the design, development, and deployment of AI/ML models, ensuring scalability and performance.Assist in translating business needs into AI/ML capabilities that support institutional goals.Collaborate with Data Scientists, Engineers, and other stakeholders to integrate ML solutions into WGU’s systems.Participate in the ML lifecycle, including data preprocessing, model training, evaluation, and deployment.Stay current with AI advancements and propose innovative solutions for practical application.Knowledge, Skill and Abilities:
Familiarity with ML techniques, deep learning frameworks (e.g., PyTorch, TensorFlow), and cloud-based big data infrastructure.
Proficiency in Python and experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
Familiarity with MLOps tools and workflows (e.g., Databricks, MLFlow, Sagemaker).
Understanding of scalable, distributed systems and cloud-based infrastructure.
Knowledge of stream-processing systems (e.g., Kafka, Spark Streaming) is a plus.
Strong problem-solving skills and the ability to work effectively in a team.
Qualifications:
B.S. and M.S. degree in Computer Science, Software Engineering, Data Science, Machine Learning, Math, Physics, or related fields (Ph.D. is a plus).
3+ years of professional experience in a business environment.
3+ years of experience in Software Engineering, Data Science, or Machine Learning.
2+ years of experience working in an AI/ML context alongside Data Scientists or ML Engineers.
1+ years of experience building large-scale machine learning or deep learning models on cloud platforms.
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 recruiting@wgu.edu.
Equal Opportunity Employer: We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. #DEI