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Learning Systems Jobs (NOW HIRING)

Motional

Machine Learning Systems Engineer

$144K - $192K/yr

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier ...

Motional

Machine Learning Systems Engineer

Pittsburgh, PA · On-site

$144K - $192K/yr

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier ...

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

$144K - $192K/yr

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier ...

Motional

Machine Learning Systems Engineer

Las Vegas, NV · On-site

$144K - $192K/yr

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier ...

Motional

Machine Learning Systems Engineer

Las Vegas, NV · On-site +1

$144K - $192K/yr

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier ...

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Learning Systems information

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How much do learning systems jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for learning systems in the United States is $37.28, according to ZipRecruiter salary data. Most workers in this role earn between $28.12 and $46.88 per hour, depending on experience, location, and employer.

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.
More about Learning Systems jobs
What states have the most Learning Systems jobs? States with the most job openings for Learning Systems jobs include:
What job categories do people searching Learning Systems jobs look for? The top searched job categories for Learning Systems jobs are:
Learning Systems jobs near you
Infographic showing various Learning Systems job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $77,546 per year, or $37.3 per hour.
Machine Learning Systems Engineer

Machine Learning Systems Engineer

Motional

Remote

$144K - $192K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago

Job description

Mission Summary:
We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models.
What you'll be doing:
  • Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.
  • Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed.
  • Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.
  • Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput.

What we're looking for:
  • Education: Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.
  • Software Engineering: Strong proficiency in Python.
  • ML Frameworks: Extensive hands-on experience with PyTorch.
  • ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.
  • Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Salary Range
$144,000-$192,000 USD
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

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