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Imagine Learning Jobs in Texas (NOW HIRING)

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

Imagine what you could do here! The people here at Apple don't just create products - they build ... We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning ...

Apple

Finance Machine Learning Engineer - Tech Lead

Austin, TX · On-site

$101K - $133K/yr

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services ... As a machine learning engineer in Finance, you'll play an integral role in building the data ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

Imagine what you could do here! The people here at Apple don't just create products - they build ... We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

Imagine what you could do here! The people here at Apple don't just create products - they build ... We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning ...

Apple

Sr. Machine Learning Engineer - Finance

Austin, TX

$184K - $277K/yr

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services ... As a machine learning engineer in Finance, you'll play an integral and global role in building the ...

Apple

Sr. Machine Learning Engineer - Finance

Austin, TX

$184K - $277K/yr

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services ... As a machine learning engineer in Finance, you'll play an integral and global role in building the ...

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Showing results 21-40

All JobsImagine Learning JobsImagine Learning Jobs in Texas

Imagine Learning information

See Texas salary details

$7

$20

$37

How much do imagine learning jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for imagine learning in Texas is $20.93, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $25.77 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 are popular job titles related to Imagine Learning jobs in Texas?

For Imagine Learning jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Imagine Learning jobs in Texas look for?

The top searched job categories for Imagine Learning jobs in Texas are:

What cities in Texas are hiring for Imagine Learning jobs?

Cities in Texas with the most Imagine Learning job openings:

Imagine Learning jobs near you
Infographic showing various Imagine Learning job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $43,531 per year, or $20.9 per hour.

Machine Learning Engineer, Apple Store Online

Apple, Inc.

Austin, TX • On-site

Other

Re-posted 20 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.
Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.
We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. You will lead the way on our Online Retail Decision Automation team by researching and developing the next generation of algorithms used to drive the Apple Online experience! This role spans central areas of our Apple Online Store including developing models for product search, recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence, messaging, marketing), Generative AI and optimizing Apple-wide systems & infrastructure. As a member of the fast-paced team, you will have the outstanding and great opportunity to be part of a new projects and craft upcoming products that will delight and encourage millions of Apple?s customers every day.
Description
To be successful, you need a strong machine learning background, proven software development skills, a love of learning, and to collaborate with cross-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to develop and implement machine learning algorithms. You'll mentor other MLE's and lead an effort to build scalable end-to-end machine learning solutions for our retail customers
Minimum Qualifications
Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building highly scalable distributed systems
Hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (eg: Spark, SQL, Snowflake/Hadoop, etc)
Bachelors in a quantitative field, such as Computer Science, Applied Mathematics, Statistics, or Bachelors degree in quantitative field with a focus on AI in coursework
Preferred Qualifications
Understanding of machine learning model lifecycle from prototyping, feature engineering, training, inference, deployment, monitoring and continuous improvements via deep analysis)
Experience in Recommender Systems, Personalization, Search, Computational Advertising or Natural Language Processing including RAG based Generative AI and transformer architecture
Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus
Experience with Spark, TensorFlow, Keras, and PyTorch a plus
Skilled in communication, problem solving, strategic thinking

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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