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Creative Learning Systems Jobs (NOW HIRING)

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Do you love taking on big challenges that require exceptionally creative solutions? .The Camera ... Experience with one of the following: machine learning/deep learning systems, computer vision ...

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How much do creative learning systems jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for creative learning systems in the United States is $43.82, according to ZipRecruiter salary data. Most workers in this role earn between $33.65 and $50.48 per hour, depending on experience, location, and employer.

What is a Creative Learning Systems job?

A Creative Learning Systems job typically involves designing, developing, and implementing innovative educational programs that integrate technology, creativity, and hands-on learning experiences. Professionals in this role often work in schools, libraries, or community centers to foster critical thinking, problem-solving, and collaboration among students. They may also support educators by providing training and resources for incorporating creative learning strategies into their curriculum. The goal is to enhance student engagement and improve learning outcomes through interactive and experiential methods.

What are the key skills and qualifications needed to thrive in the Creative Learning Systems position, and why are they important?

To thrive in a Creative Learning Systems role, you should possess a background in instructional design, educational technology, and curriculum development, often supported by a relevant degree or certification. Familiarity with learning management systems (LMS), authoring tools like Articulate Storyline, and digital media production platforms is typically required. Strong communication, innovative thinking, and project management abilities are essential soft skills for collaboration and problem-solving. These skills enable professionals to design engaging learning experiences that effectively meet educational objectives and adapt to evolving instructional needs.

What does a typical day look like for someone working in Creative Learning Systems?

Professionals in Creative Learning Systems often spend their days designing multimedia learning materials, collaborating with subject matter experts, and evaluating the effectiveness of instructional content. They might participate in team meetings to align on project goals, research cutting-edge educational technologies, and troubleshoot challenges in curriculum delivery. This role frequently involves balancing independent work with cross-functional teamwork, ensuring that learning solutions are both innovative and practical. The variety and collaborative nature of the work environment make each day dynamic and offer strong opportunities for professional growth.
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Creative Learning Systems jobs near you
Infographic showing various Creative Learning Systems job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 93% Full Time, 5% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $91,151 per year, or $43.8 per hour.
Machine Learning Systems Engineer, Siri Runtime Systems and Interaction

Machine Learning Systems Engineer, Siri Runtime Systems and Interaction

Apple

Cupertino, CA • On-site

$126K - $220K/yr

Full-time

Medical, Dental, Retirement

Posted 4 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

The Siri Team at Apple is actively looking for a highly motivated Systems Software Engineer to contribute to and build Apple's future technologies that power delightful Siri experiences supercharged with Apple Intelligence. The successful candidate will be a skilled software engineer with strong ML fundamentals who enjoys problem-solving and is comfortable with designing, building, and optimizing system software that integrates machine learning capabilities.
Our team builds high-quality software that powers delightful Siri-based experiences in the Apple ecosystem. We value passion for excellence and a deep commitment to building high-quality software. If you want to impact millions of customers around the world by working on the most advanced technology solutions, we want to talk to you.
Description
As a Machine Learning Systems Engineer in the Siri Group at Apple, you will work at the intersection of software engineering and machine learning, partnering with cross-functional teams to solve high-impact problems on Apple products.","responsibilities":"Integrating ML models into production software pipelines with focus on performance and reliability
Building and optimizing infrastructure for ML model evaluation, analysis, and deployment Collaborating with ML engineers to understand model requirements and translate them into efficient system implementations
Optimization of existing systems for ML workloads and debugging complex software-ML integration issues
Working cross-functionally to drive requirements from concept through feature launch
Writing clean, maintainable production code with comprehensive documentation and tests
Contributing to architecture decisions, design reviews, and peer code reviews
Acting as a force-multiplier by enabling both engineering and ML team members to be more productive
Preferred Qualifications
Demonstrated experience building production-quality software
Experience building ML infrastructure, evaluation pipelines, or training systems
Familiarity with ML frameworks (Core ML, PyTorch, TensorFlow) and model optimization techniques
Minimum Qualifications
Strong programming skills in Swift / C++ / Objective-C
Solid understanding of machine learning concepts, model inference, and ML system design principles
Experience developing and optimizing algorithms that run efficiently on resource-constrained platforms
Passionate about delivering high-quality products, comfortable with ambiguity, intellectually curious and driven to find creative solutions
Ability to thrive in collaborative environments with multiple cross-functional teams and communicate clearly with both engineering and ML teams
BS (or higher) in Computer Science, Machine Learning, or related disciplines
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $126,800 and $220,900, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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