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Learning Developer Jobs in Michigan (NOW HIRING)

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat ...

Farmers Insurance

Learning Content Developer

Caledonia, MI · Hybrid

$72K - $123K/yr

Create engaging learning materials based on LXD designs and storyboards, including: * Microlearning content * eLearning modules * Instructor-led training materials * Job aids and supporting resources

Autodesk

Senior Machine Learning Test Engineer

Novi, MI · On-site +1

$103K - $134K/yr

You are a quality-focused developer who is passionate about reliable, repeatable evaluation of ML ... Passion for learning new technologies and improving existing systems * Experience with cloud ...

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Learning Developer information

See Michigan salary details

$9.6K

$73.1K

$122K

How much do learning developer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for learning developer in Michigan is $73,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $121,200.00 per year, depending on experience, location, and employer.

How do I get into L&D?

To become a Learning Developer, you typically need a background in education, instructional design, or related fields, along with skills in curriculum development, e-learning tools, and multimedia. Gaining certifications such as CPLP or ATD can enhance your prospects, and experience with learning management systems (LMS) is often required. Entry often involves applying for roles that value strong communication, creativity, and technical skills in designing effective training programs.

What are the key skills and qualifications needed to thrive as a Learning Developer, and why are they important?

To thrive as a Learning Developer, you need expertise in instructional design, adult learning theories, and curriculum development, often supported by a degree in education, instructional design, or a related field. Familiarity with e-learning authoring tools (such as Articulate Storyline or Adobe Captivate), Learning Management Systems (LMS), and sometimes relevant certifications (e.g., CPLP, APTD) is typically required. Strong project management, creativity, and communication skills help you design engaging and effective learning experiences for diverse audiences. These competencies ensure that training solutions are impactful, user-friendly, and aligned with organizational goals.

What jobs make $10,000 a month without a degree?

Learning developers typically do not earn $10,000 a month without a degree, as this role often requires specialized training or certifications. However, high-paying freelance or consulting roles in tech, sales, or digital marketing can reach or exceed this income level through skills, experience, and client base, often without formal degrees. Success in such roles depends on expertise, portfolio, and market demand.

Are L&D jobs in high demand?

Learning Developer roles are in increasing demand as organizations prioritize employee training and development to improve skills and performance. These jobs often require knowledge of instructional design, e-learning tools, and learning management systems, and demand varies by industry and region but generally shows positive growth trends.

What jobs in the US pay 300,000 a year?

For a Learning Developer, high-paying roles typically include senior instructional designers, e-learning directors, or training managers with extensive experience and specialized skills. These positions often require advanced certifications, leadership abilities, and proficiency with learning management systems and authoring tools. Salaries reaching $300,000 are more common in senior corporate training roles or consulting positions in large organizations.

What are Learning Developers?

Learning Developers are professionals who design, develop, and enhance educational materials and experiences, often using technology to support learning. They collaborate with subject matter experts to create engaging online courses, instructional resources, and training programs. Learning Developers use instructional design principles to ensure that learning objectives are met and that materials are accessible and effective for diverse learners. Their work is essential in educational institutions, corporate training, and e-learning industries.

How does a Learning Developer typically collaborate with subject matter experts to create effective training materials?

A Learning Developer works closely with subject matter experts (SMEs) to ensure that training content is accurate, engaging, and tailored to the audience's needs. This collaboration often involves conducting interviews, reviewing existing materials, and participating in feedback sessions to clarify complex concepts. Regular meetings and iterative content reviews are common, allowing the Learning Developer to translate expert knowledge into accessible and interactive learning experiences. Strong communication and project management skills are essential for managing timelines and aligning expectations between all stakeholders.

What is the difference between Learning Developer vs Instructional Designer?

AspectLearning DeveloperInstructional Designer
CredentialsTypically requires a degree in education, instructional design, or related field; certifications like CPLP or ATD are commonSimilar credentials; often holds degrees in education, instructional design, or related certifications
Work EnvironmentCreates digital learning content, e-learning modules, and multimedia resources, often in corporate or educational settingsDesigns curriculum, develops instructional materials, and plans learning strategies, mainly in educational or corporate sectors
Employer & Industry UsageUsed by corporations, e-learning companies, and educational institutions to develop online trainingEmployed by educational institutions, corporations, and consulting firms to design learning experiences

Learning Developers focus on creating and developing digital learning content and multimedia resources, while Instructional Designers primarily design and plan overall learning strategies and curricula. Both roles require similar credentials and are used across educational and corporate sectors, but their core responsibilities differ in content creation versus instructional planning.

What are popular job titles related to Learning Developer jobs in Michigan? For Learning Developer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Learning Developer jobs in Michigan look for? The top searched job categories for Learning Developer jobs in Michigan are:
What are popular job titles related to Learning Developer jobs in MI? For Learning Developer jobs in MI, the most frequently searched job titles are:
Learning Developer jobs near you
Infographic showing various Learning Developer job openings in Michigan as of June 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $73,114 per year, or $35.2 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Canopy

Detroit, MI • On-site, Remote

$126K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 hours ago

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Company rating: 6.7 out of 10

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Job description

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat vehicle and content theft. In this senior role, you'll play a pivotal part in shaping our AI roadmap, mentoring junior engineers, and influencing system architecture decisions. This is a high-impact role with visibility across engineering and product leadership.
Responsibilities:
  • Contribute to the design, development, and deployment of robust machine learning models for production use in real-world security applications.
  • Develop within the full machine learning lifecycle; from problem definition to data pipeline design, model development, validation, deployment, and monitoring.
  • Establish and refine best practices in our ML system architecture, CI/CD pipelines for ML, and reproducible research methodologies.
  • Collaborate with cross-functional stakeholders including product managers, data engineers, and MLOps teams to ensure seamless model integration and delivery.
  • Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar, accelerometer) to derive insights and guide modeling strategies.
  • Stay ahead of industry advancements in machine learning, AI sensing, and signal processing, incorporating the latest innovations into Canopy's technology stack.
  • Mentor and guide junior engineers and contribute to the hiring process and technical reviews.

Requirements
  • 5+ years of professional experience developing and implementing ML for perception systems with expertise in at least one of either RADAR, camera, or LiDAR.
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or TensorFlow.
  • Proven ability to develop production-grade ML applications for training, evaluation and inference on large-scale datasets.
  • Experience creating C/C++ applications utilizing modern language features and build systems, preferably for porting ML inference applications from Python to edge devices/embedded systems.
  • White-box understanding of classical ML algorithms (SVMs, HMMs, Decision Trees) and modern neural network models and architectures (CNNs, transformers) with significant experience applying them for perception systems.
  • Experience implementing and applying dynamic object tracking, with experience using sensor fusion as a preference.
  • Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and services, virtual computers and clusters.
  • Proficiency in signal processing techniques such as time/frequency-domain processing (e.g. Fourier Transform), filtering, and noise reduction.
Preferred Qualifications:
  • Experience in deploying models to edge hardware, including experience with PyTorch and ONNX and model compression techniques, e.g. quantisation and pruning.
  • Experience using cloud computing platforms, e.g., AWS or GCP.
  • Experience with MATLAB for algorithm prototyping and research.
  • Experience with Docker or containerisation.
  • Reside within the Detroit area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed.

Benefits
  • Comprehensive medical benefits coverage, dental plans and vision coverage.
  • Health care and dependent care spending accounts.
  • Employee and Family Assistance Program (EAP).
  • Employee discount programs.
  • Retirement plan with a generous company match.
  • Generous Paid Time Off, Sick, and Holidays
  • Family Leave (Maternity, Paternity)
  • Short- and long-term disability
  • Life insurance and accidental death & dismemberment insurance

Compensation Range
Compensation may vary depending on skills and experience.
Base Salary: $126,000 - $180,000
Diversity, Equity and Inclusion: At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology. We will achieve this by prioritizing individuals and staying attuned to the evolving needs of our people, users, and industry trends. We foster a workplace culture that embraces diversity and authenticity, enabling us to flourish as a team of exceptional individuals working towards a common purpose. We gain a deeper understanding of our users' experiences by continuously improving our skills and expanding our knowledge. A more diverse, equitable, and inclusive Canopy leads to greater innovation and success.
Equal Opportunity: Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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