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Imagine Learning Jobs in California (NOW HIRING)

Apple

Machine Learning FEA Engineer

Bodega Bay, CA · On-site

$142K - $263K/yr

Imagine what you can do here! We are committed to pushing the boundaries of innovation and engineering excellence in product designs through machine learning and FEA simulations. We truly believe in ...

Apple

Machine Learning FEA Engineer

Bodega Bay, CA · On-site

$142K - $263K/yr

Imagine what you can do here! We are committed to pushing the boundaries of innovation and engineering excellence in product designs through machine learning and FEA simulations. We truly believe in ...

Apple Inc.

Machine Learning FEA Engineer

San Francisco, CA · On-site

$150.40 - $277.60/hr

San Francisco Bay Area, California, United States Hardware Imagine what you can do here! We are ... The machine learning models will drive rapid design iterations by assessing potential risks and ...

Apple

Machine Learning Video Process Engineer

Cupertino, CA · On-site

$129K - $225K/yr

Imagine the impact you can make. A billion users will use the technologies you helped craft almost ... Description We are looking for a Machine Learning Video Processing Engineer who will join us to ...

Apple Inc.

Video Machine Learning Engineer

San Diego, CA · On-site

$139.50 - $258.10/hr

San Diego, California, United States - Software and Services Imagine what you could do here! At ... Description As a Video Machine Learning Algorithm Engineer on our team, you will be at the ...

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Showing results 21-40

All JobsImagine Learning JobsImagine Learning Jobs in California

Imagine Learning information

See California salary details

$8

$22

$39

How much do imagine learning jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for imagine learning in California is $22.17, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $27.26 per hour, depending on experience, location, and employer.

What is Imagine Learning?

Imagine Learning is an education technology company that develops digital curriculum and software to support student learning, particularly in literacy, language development, and mathematics. Their products are widely used in K–12 schools to provide personalized, adaptive instruction. Imagine Learning's programs are designed to support diverse learners, including English language learners, by offering interactive lessons, assessments, and teacher resources. The goal is to help students achieve academic success through engaging and data-driven educational experiences.

What are the typical responsibilities and team dynamics for someone working at Imagine Learning?

At Imagine Learning, employees often collaborate in multidisciplinary teams to develop and support educational technology products. Typical responsibilities may include designing curriculum, creating engaging digital content, working closely with software developers, and gathering feedback from educators to improve offerings. The work environment is generally fast-paced and mission-driven, with a strong focus on innovation and teamwork. Team members regularly attend cross-functional meetings and are encouraged to contribute ideas, making it a supportive setting for professional growth.

What are the key skills and qualifications needed to thrive as an Imagine Learning Specialist, and why are they important?

To thrive as an Imagine Learning Specialist, you need a background in education, strong instructional skills, and familiarity with digital literacy, often supported by a teaching credential or degree in education. Experience with learning management systems (LMS), educational software like Imagine Learning, and data analysis tools is typically required. Excellent communication, adaptability, and the ability to motivate and engage diverse learners are standout soft skills in this role. These skills enable effective technology integration, personalized instruction, and improved student outcomes in digital learning environments.

What is the difference between Imagine Learning vs Reading Specialist?

AspectImagine LearningReading Specialist
CredentialsTypically requires a bachelor's degree in education or related fieldRequires a bachelor's degree in education, literacy, or related field; often certification in reading or literacy
Work EnvironmentPrimarily works with students using digital learning platforms, often in schools or online settingsWorks directly with students, teachers, and parents to improve reading skills, often in schools or clinics
Industry UsageUsed in educational technology and e-learning sectorsCommon in K-12 education, literacy programs, and special education

Imagine Learning focuses on digital literacy tools and e-learning platforms, while Reading Specialists provide direct instruction and support to improve reading skills. Both roles aim to enhance literacy but differ in their methods and work environments.

What cities in California are hiring for Imagine Learning jobs?

Cities in California with the most Imagine Learning job openings:

Imagine Learning jobs near you
Infographic showing various Imagine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $46,112 per year, or $22.2 per hour.

Machine Learning Video Process Engineer

Apple

Cupertino, CA • On-site

Full-time

Re-posted 28 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 683 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Imagine the impact you can make. A billion users will use the technologies you helped craft almost daily. At Apple, you will have the opportunity to work on products that are always leaders in the industry and potentially change the world! The Video Engineering team at Apple is responsible for creating the image and video core technologies used in almost all Apple products and services. We are looking for a highly self-motivated individual to fill in the position of Machine Learning Video Processing Engineer.
Description
We are looking for a Machine Learning Video Processing Engineer who will join us to build Apple's next-generation video processing algorithms. In this role, you will identify and develop machine leaning solutions and work closely within a dynamic team to optimize and productize those features. Your responsibilities include, but not limited to:
Minimum Qualifications
Minimum requirement of a bachelors degree
Masters degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields
Knowledge of the principles, algorithms, and techniques used in machine learning and video processing with first-hand experiences.
Programming skills and hands-on experience with Python and deep learning frameworks such as PyTorch
Preferred Qualifications
PhD or Masters degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields
Knowledge of low-level vision algorithms such as spatial and temporal image/video scaling, noise reduction, etc.
Background in digital signal and image processing
Publication record in top-tier conferences (e.g., CVPR, ICCV, SIGGRAPH, ECCV, NeurIPS, ICML, ICLR)
Excellent independent problem-solving skills
Excellent written and oral communication skills

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

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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