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Expanded Learning Program Jobs in Detroit, MI (NOW HIRING)

Sun RV Resorts

Data Literacy Specialist

Southfield, MI · On-site

... program, including scheduling sessions, managing resource libraries, and documenting learning paths ... Gather user feedback and help identify opportunities to refine content, improve clarity, or expand ...

Sun Communities

Data Literacy Specialist

Southfield, MI · On-site

... program, including scheduling sessions, managing resource libraries, and documenting learning paths ... Gather user feedback and help identify opportunities to refine content, improve clarity, or expand ...

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Showing results 41-60

All JobsExpanded Learning Program JobsExpanded Learning Program Jobs in Detroit, MI

Expanded Learning Program information

See Detroit, MI salary details

$46.5K

$80.6K

$181.7K

How much do expanded learning program jobs pay per year?

As of Aug 12, 2026, the average yearly pay for expanded learning program in Detroit, MI is $80,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,400.00 and $88,100.00 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 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 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 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 popular job titles related to Expanded Learning Program jobs in Detroit, MI? For Expanded Learning Program jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Expanded Learning Program jobs in Detroit, MI look for? The top searched job categories for Expanded Learning Program jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Expanded Learning Program jobs? Cities near Detroit, MI with the most Expanded Learning Program job openings:
Expanded Learning Program jobs near you

Senior Simulation Engineer - Machine Learning

Woven by Toyota

Ann Arbor, MI • On-site

$140K - $230K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago

Job description

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation - expanding what "mobility" means and how it serves society.
Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all.
TEAMThe Automated Driving & ADAS organization focuses on developing a scalable, data-driven approach to autonomous and assisted driving software. We collaborate with partners across Toyota, offering numerous opportunities to integrate cutting-edge technology into consumer vehicles globally. To continuously improve and thoroughly test our driving systems, we build powerful developer workflows that leverage real-world data and state of the art in-house and third party simulation technologies. The simulation technologies we develop and integrate form the foundation of our virtual verification and validation efforts, enabling autonomy and ADAS stack development, regression testing, and model training.
WHO ARE WE LOOKING FOR?
The Simulation Core team is seeking an experienced Senior Simulation Engineer to lead the adoption and integration of advanced machine learning technologies, including world foundation models, into large-scale simulation workflows. This role sits at the intersection of simulation and machine learning and will enable us to complement traditional simulation paradigms with workflows that enable large scale training and testing of machine learning-based autonomy stacks. By steering technical direction, collaborating with cross-functional teams, and mentoring developers, you will play a key role in evolving our critical AD/ADAS simulator tools.
RESPONSIBILITIES
  • Lead adoption and integration of machine learning techniques in simulation subsystems and workflows (e.g. scenario creation, reactive agents and sensor/vehicle/intersection/world modeling).
  • Architect and extend our next generation core simulation technologies (e.g. agent frameworks, scenario engine, sensor simulation).
  • Partner with ADAS teams to improve the development and evaluation of ADAS software.
  • Help set the team roadmap to support the growing landscape of ADAS customers and use cases.
  • Demonstrate good design practices; alignment with stakeholders before, during, and after implementation is essential.

MINIMUM QUALIFICATIONS
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field highly preferred.
  • 5+ years of relevant work experience.
  • Experience with machine learning frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred).
  • Experience in machine learning workflows, such as data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization
  • Strong programming skills in Python, Rust or C++.
  • Proven track record crafting well-designed, impactful solutions within allotted time and resource constraints.
  • Ability to think, design, and code for both the user's and simulator developer's perspectives.
  • An infectious self-driven passion for solving complex problems while learning new techniques and technologies!

NICE TO HAVES
  • Familiarity with recent breakthroughs in machine learning (e.g. foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures).
  • Experience with building real-time systems (a requirement of simulations for driver assistance and hardware in the loop scenarios).
  • Experience with build systems, continuous integration, and/or continuous deployment (CI/CD).
  • Experience in the automotive and/or self-driving autonomy domain.

For positions based in Palo Alto, CA, the base pay ranges from $140,000 -$230,000 a year.
Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level.
WHAT WE OFFER
We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.
• Excellent health, wellness, dental and vision coverage
• A rewarding 401k program
• Flexible vacation policy
• Family planning and care benefits
Our Commitment
• We are an equal opportunity employer and value diversity.
• Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.

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