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Expanded Learning Program Jobs in Raleigh, NC (NOW HIRING)

IXL Learning

Marketing Manager

Raleigh, NC · On-site

IXL Learning, developer of personalized learning products used by millions of people globally, is ... Lead IXL's regional marketing strategy, ensuring programs directly support sales pipeline ...

MaintainX

Customer Success Enablement Manager

Raleigh, NC · On-site

$150/day

... expansion support. * Establish and maintain role-based curricula and learning programs for Customer Success Managers and Implementation Consultants in partnership with CS, Professional Services, and ...

MaintainX

Customer Success Enablement Manager

Raleigh, NC · On-site

$150/day

... expansion support. * Establish and maintain role-based curricula and learning programs for Customer Success Managers and Implementation Consultants in partnership with CS, Professional Services, and ...

IXL Learning

Marketing Manager

Raleigh, NC · On-site

IXL Learning, developer of personalized learning products used by millions of people globally, is ... Lead IXL's regional marketing strategy, ensuring programs directly support sales pipeline ...

CIMA

Director - Personal Financial Planning

Durham, NC · Hybrid

$165K - $200K/yr

Focus on credential pathway, university pipeline, and learning programs. I also respond to media ... Additionally, you will expand the credentials and related offerings internationally. Meanwhile, you ...

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Expanded Learning Program information

See Raleigh, NC salary details

$45.7K

$79.1K

$178.4K

How much do expanded learning program jobs pay per year?

As of May 31, 2026, the average yearly pay for expanded learning program in Raleigh, NC is $79,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,400.00 and $86,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Expanded Learning Program Coordinator, and why are they important?

To excel as an Expanded Learning Program Coordinator, you need experience in youth development, curriculum planning, and a relevant degree such as education or social work. Familiarity with program management software, student assessment tools, and compliance with state educational guidelines is typically required. Strong leadership, effective communication, and cultural competency are vital soft skills for engaging students, staff, and families. These abilities ensure the creation of enriching, inclusive programs that foster student growth and meet educational standards.

What are some common challenges faced by staff in Expanded Learning Programs, and how can they be addressed?

Staff in Expanded Learning Programs often encounter challenges such as engaging students with diverse backgrounds and needs, managing large groups, and balancing administrative tasks with direct instruction. To address these, it's important to develop strong classroom management skills, utilize culturally responsive teaching practices, and collaborate closely with colleagues and families. Ongoing professional development and open communication within the team can also help staff feel supported and effective in delivering high-quality enrichment experiences.

What are Expanded Learning Programs?

Expanded Learning Programs are educational initiatives that provide students with additional learning opportunities outside of the traditional school day. These programs can take place before or after school, during weekends, or over the summer, and are designed to support academic achievement, social-emotional development, and enrichment activities. They often include tutoring, homework help, arts, sports, STEM projects, and other hands-on experiences. The goal is to engage students in meaningful learning, support working families, and help close achievement gaps.

What is the difference between Expanded Learning Program vs After School Program Coordinator?

AspectExpanded Learning ProgramAfter School Program Coordinator
CredentialsTypically requires a high school diploma or equivalent; some roles may prefer a bachelor's degree in education or related fieldUsually requires a high school diploma; some positions prefer additional certifications in youth development or education
Work EnvironmentSchools, community centers, or nonprofit organizations focusing on extended learning activitiesSchools, community centers, or nonprofit settings managing after-school activities and supervision
Employer & Industry UsageEducational programs aimed at supplementing school curricula with enrichment activitiesOrganizations providing after-school supervision, enrichment, and youth development services

The Expanded Learning Program and After School Program Coordinator roles both focus on youth engagement outside regular school hours. While the Expanded Learning Program emphasizes structured educational and enrichment activities, the After School Program Coordinator manages daily operations and supervision of after-school activities. Both roles often require similar credentials and work in comparable environments, but their specific focus and responsibilities differ slightly.

What are popular job titles related to Expanded Learning Program jobs in Raleigh, NC? For Expanded Learning Program jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Expanded Learning Program jobs in Raleigh, NC look for? The top searched job categories for Expanded Learning Program jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Expanded Learning Program jobs? Cities near Raleigh, NC with the most Expanded Learning Program job openings:
Expanded Learning Program jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Western Governors University

Raleigh, NC • On-site

$157K - $243.40K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Western Governors University rating

8.6

Company rating: 8.6 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

49th of 530 rated colleges and universities

Job description

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:
Grade: Technical 411
Pay Range: $157,000.00 - $243,400.00
Job Description
The Senior ML Engineer builds and deploys state-of-the-art NLP/LLM models at scale in a cloud environment, with a focus on improving student learning experiences. You lead by example, mentor junior engineers, and collaborate across cross-functional teams. You actively research the latest NLP/LLM techniques and translate them into practical, scalable solutions for the education domain. You communicate clearly with leadership and peers, influence product directions, and drive innovation that challenges the status quo.
Key Responsibilities
  • Strategic leadership

  • Define NLP initiatives, roadmaps, and success metrics in collaboration with the MLE manager.

  • Champion best practices in ML, data governance, and security within the team and across the organization.

  • Mentor junior engineers and serve as a technical lead on complex ML projects.

  • Model research, development, and deployment

  • Research and prototype state-of-the-art NLP/LLM techniques; evaluate and select approaches suitable for production.

  • Develop, train, fine-tune, and optimize production-grade NLP/LLM models.

  • Deploy models to production with emphasis on performance, scalability, reliability, and observability.

  • Data, pipelines, and collaboration

  • Partner with Data Engineering to build robust data processing pipelines and high-quality training/inference data.

  • Work with MLOps to ensure scalable, reproducible deployment, monitoring, and model governance.

  • Collaborate with Software, Infrastructure, and Security teams to integrate ML solutions into the university ecosystem.

  • Product impact and stakeholder engagement

  • Translate business requirements into NLP capabilities; collaborate with product stakeholders to validate outcomes.

  • Apply NLP insights to unstructured data sources (e.g., transcripts, emails, mentor notes) to inform learning experiences.

  • Continuous improvement and learning

  • Stay current with NLP/LLM, DL, and AI trends; proactively apply innovations to use cases.

  • Contribute to standards, guidelines, and documentation for ML practices.

  • Communicate status, risks, and progress to leadership and cross-functional teams.

Minimum Qualifications:
  • Master's degree in Computer Science, Software Engineering, Data Science, Machine Learning, Mathematics, Physics, or a related field; or equivalent relevant experience.

  • 5+ years of software development in a cloud environment.

  • 3+ years building large-scale ML/DL models, from POC to production.

  • Hands-on experience with one or more DL frameworks (e.g., PyTorch, TensorFlow).

  • Experience with cloud data platforms (AWS, Azure, GCP) and data/ML tooling (e.g., Databricks, MLFlow, Streamlit).

  • Proficiency in ETL, feature engineering, data visualization.

  • Experience operating high-availability, fault-tolerant, scalable distributed systems with GitOps practices (Terraform preferred).

  • Familiarity with stream processing (ksqlDB, Spark Streaming, Beam/Flink) and modern ML deployment patterns.

  • Strong programming skills in Python, Java/Scala, and/or Go; fluency in clean, maintainable code.

  • Excellent analytical, critical thinking, and problem-solving abilities.

  • Effective written and verbal communication; comfortable explaining technical concepts to non-experts and senior leadership.

  • Ability to thrive in a fast-paced, collaborative environment.

  • Experience guiding junior engineers and providing technical leadership.

Preferred Qualifications
  • PhD in a related field.

  • Experience with Databricks and a broad range of ML tooling.

Equivalents and Substitutions
  • Equivalent relevant experience may substitute for degree requirements (1 year of experience per year of education at the discretion of the Hiring Manager).

#LI-GB1
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 Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.

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