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Imagine Learning Jobs in Texas (NOW HIRING)

Apple

Senior Machine Learning Engineer

Austin, TX · On-site

$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 · On-site

$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 · On-site

$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 · On-site

$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 · On-site

$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

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 ...

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Showing results 21-40

All JobsImagine Learning JobsImagine Learning Jobs in Texas

Imagine Learning information

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How much do imagine learning jobs pay per hour?

As of Sep 6, 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 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, 75% Full Time, 21% Part Time, 2% Contract, and 1% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $43,531 per year, or $20.9 per hour.

Sr. Machine Learning Engineer - Finance

Apple Inc.

Austin, TX • On-site

$110 - $150/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

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

Austin, Texas, United States Corporate Functions

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and curiosity to your job and there's no telling what you could accomplish. Do you love thinking analytically? Just as our customers find value in Apple products, the Finance group finds value for both Apple and its shareholders. As a machine learning engineer in Finance, you’ll play an integral and global role in building the data foundations, services, and platforms used for delivering insights and automating decisions for Apple’s Finance organization.

Description

This role will require you to be collaborative by learning intra-team and business process in order to build infrastructure and services to enable an effective Machine Learning practice. You will help lead the charge by developing a strong ML Ops process in a dynamic Finance environment where you will deal with unique challenges specific to Finance organizations, such as SOX and regulatory compliance. Your ability to instill and proliferate strong software engineering practices into team data science and machine learning processes will be critical.

Responsibilities
  • Build and operationalize AI solutions in Apple Finance
  • Partner with teammates and share expertise across teams
  • Explain technical concepts to non-technical audiences
  • Collaborate effectively with cross-functional teams
  • Instill strong engineering practices into team machine learning processes
  • Rapidly and reliably deliver value to the Finance organization
Minimum Qualifications
  • Undergraduate degree (computer science, data science, finance, economics, accounting, or related business discipline) with seven years demonstrated experience
  • Experience building data models and scalable pipelines using SQL and big data technologies, with expertise in data ops best practices
  • Experience developing in Python while following DRY principles, modularity, and testing standards, with version control, code review.
  • Experience applying ML algorithms for regression, classification, and anomaly detection; build generative AI and agentic solutions; implement MLOps/LLMOps including CI/CD, drift monitoring, and cloud platforms (AWS, GCP, Azure)
  • Ability to explain technical details to non-technical audiences
  • Understands and advocates version control, test driven development and strong CI/CD process
Preferred Qualifications
  • Graduate degree (computer science, data science, math, quantitative finance, or similar discipline) with five years experience
  • Previous experience working in a corporate finance, accounting, or supply chain organization
  • Understanding of or ability to learn financial statements, P&L impact, high level accounting principles, SOX and tax compliance and month-end close process
  • Experience with front end (.js experience)

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace.

Learn about reasonable accommodations for job applicants.

Apple accepts applications to this posting on an ongoing basis.

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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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