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Learning Systems Jobs in Texas (NOW HIRING)

Apple

Machine Learning Engineer

Austin, TX · On-site

Experience building data processing pipelines and large scale machine learning systems with ... experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc.Skilled in communication ...

Bumble Inc.

Staff Machine Learning Engineer

Austin, TX · On-site

... learning systems. In this role, you will be responsible for designing scalable ML platforms ... Responsibilities : • Own and drive large-scale, end-to-end ML systems powering recommendations ...

Apple

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

Experience building data processing pipelines and large scale machine learning systems with ... experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc.Skilled in communication ...

CMA CGM

Talent Development & Learning Manager

Houston, TX · On-site

$110K - $118K/yr

Ensure learning activities are properly tracked and reported in CEVA learning systems. * Ensure development actions/ career discussions, mapping are properly tracked in MyHR * Monitor learning ...

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Learning Systems information

What is the difference between Learning Systems vs Instructional Designer?

AspectLearning SystemsInstructional Designer
Required CredentialsTypically a degree in education, instructional technology, or related field; certifications in LMS platformsDegree in education, instructional design, or related; certifications in instructional design tools
Work EnvironmentEducational institutions, corporate training departments, e-learning companiesEducational institutions, corporate training, e-learning development firms
Employer & Industry UsageUsed by organizations implementing LMS platforms for trainingHired to design and develop instructional content and courses

Learning Systems professionals focus on managing and implementing Learning Management Systems (LMS), ensuring effective delivery of online training. Instructional Designers create engaging educational content and course materials. While both roles support e-learning, Learning Systems specialists handle platform administration, whereas Instructional Designers develop instructional content.

What are learning systems?

Learning systems are software platforms or tools designed to facilitate, manage, and track educational or training activities. They are commonly used in schools, universities, and organizations to deliver online courses, assessments, and learning resources. Learning systems often include features such as course management, progress tracking, and communication tools to enhance the teaching and learning experience. Examples include Learning Management Systems (LMS) like Moodle, Canvas, and Blackboard. These systems support both instructors and learners by providing a centralized platform for e-learning.

How does a Learning Systems professional typically collaborate with faculty and IT teams to implement new educational technologies?

Learning Systems professionals often serve as the bridge between academic faculty and IT departments, working closely with both to ensure successful adoption of new educational technologies. They translate instructional needs into technical requirements, assist faculty with integrating tools into courses, and coordinate with IT for system configuration and troubleshooting. Regular communication and training sessions are common, as is ongoing support to address technical or pedagogical challenges. This collaborative approach helps maximize the effectiveness and user adoption of learning platforms across the institution.

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

To thrive as a Learning Systems Specialist, you need expertise in instructional design, e-learning principles, and a relevant degree in education, instructional technology, or a related field. Familiarity with Learning Management Systems (LMS) like Moodle, Blackboard, or Canvas, as well as certification in platforms such as SCORM or xAPI, is typically required. Strong problem-solving, communication, and project management skills help you collaborate with educators and troubleshoot technical issues. These skills ensure effective delivery, maintenance, and continuous improvement of digital learning solutions that support organizational training goals.
What are popular job titles related to Learning Systems jobs in Texas? For Learning Systems jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Learning Systems jobs in Texas look for? The top searched job categories for Learning Systems jobs in Texas are:
Learning Systems jobs near you
Infographic showing various Learning Systems job openings in Texas as of May 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.
Machine Learning Engineer New Grad 2024-2025 -Remote

Machine Learning Engineer New Grad 2024-2025 -Remote

Quora

Laredo, TX • Remote

$139K - $168K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 17 days ago

Job description

About Quora:

Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:

  • Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
  • Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

This role will be working on our Poe product.

About the Team and Role:

Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. Everyone on the engineering team has a huge impact on our product and our company.

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to uncover new opportunities to the Poe product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.

Responsibilities:
  • Improve our existing Machine Learning systems using your expertise
  • Identify new opportunities to apply Machine Learning to different parts of the Poe product
  • Work with other engineers to implement algorithms and systems in an efficient way
  • Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale
Minimum Requirements:
  • Ability to be available for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
  • A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
  • Strong understanding of mathematical foundations of Machine Learning algorithms
  • Experience of transformer models and LLM applications
  • Strong knowledge of Python or C++, or the ability to learn them quickly
  • A passion for learning and always improving yourself and the team around you
Preferred Requirements:
  • Previous software engineering experience via an internship, work experience, or coding competition
  • Previous industry experience working on natural language processing, language modeling, etc.
  • Passion for Quora's mission and goals

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

We are accepting applications on an ongoing basis.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

  • US candidates only: For US based applicants, the salary range is $107,660 - $161,700 USD + equity + benefits.
  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity + benefits. For all other locations in Canada, the salary range is $130,647 - $156,980 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice

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