Southern New Hampshire University Logo

Southern New Hampshire University

Learning Engineer

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in USA
66K-106K Annually
Senior level
Remote
Hiring Remotely in USA
66K-106K Annually
Senior level
Develops and evaluates innovative online learning solutions using learning science, educational technology, assessment, user research, and applied experimentation. Leads pilots, prototypes, testing protocols, measurement frameworks, and evidence-based recommendations for scalable institutional adoption. Collaborates with faculty, research teams, stakeholders, and technology experts to improve learner engagement, personalization, accessibility, and educational outcomes, including applications of generative AI in online learning.
The summary above was generated by AI

Southern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us — and helped us grow a team that now serves over 180,000 learners worldwide.

Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you.

Make an impact — from near or far

At SNHU, you'll have the option to work remotely in the following states: Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Mississippi, Missouri, Nebraska, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin and Wyoming.

We ask that our remote employees have access to a reliable internet connection and a dedicated, properly equipped workspace that is free of distractions. Employees must reside in, and work from, one of the above approved states.

The opportunity

The Learning Engineer is responsible for developing and evaluating innovative solutions to complex learning challenges and opportunities across SNHU's Global Campus offerings. Specifically, this position focuses on emerging educational technologies, assessment techniques, student engagement strategies, academic research, research/experimentation design, and evolving models for digital education. Working collaboratively across numerous internal departments, the Learning Engineer leads research, prototyping, and evaluation efforts to explore new ideas, develop proof-of-concept solutions, and assess their potential for broader institutional adoption in support of SNHU's mission to deliver affordable, accessible, and high-quality education. The position requires broad expertise in instructional design, educational technology, assessment, learning sciences, user experience design, learning management systems, research methods, and the application of evidence-based practices to educational innovation.

Primary Duties and Responsibilities:

•    Design and develop learning solutions drawing from research-based efforts in learning science and educational technology.
•    Manage complex design projects independently with small, agile teams.
•    Design rigorous testing approaches for the evaluation of strategic initiatives, including test protocols, evaluation instruments, measurement frameworks, hypotheses, success criteria, and decision points.
•    Partner with prototype teams as an embedded contributor to translate emerging instructional approaches and design challenges into structured experiments, testable iterations, and production-ready recommendations.
•    Convert applied research and emerging literature on AI, assessment, student engagement, and learning science into pilot designs, test plans, and operational playbooks that teams can implement directly.
•    Apply methodological rigor to pilot and prototype testing so that results are defensible, reusable, and actionable for decisions about scale, iteration, or discontinuation.

•    Integrate research-based practices from diverse populations of learners to ensure solutions are learner-centered and support personalization.
•    Analyze faculty needs across various faculty models to support the teaching and facilitation of the learning solution.
•    Integrate robust, well-aligned, and valid assessment methods across all aspects of the learning solution.
•    Develop technical specifications and use cases for leveraging appropriate technology to support learning.
•    Collaborate with user testing teams to evaluate the effectiveness of learning solutions through user testing, learner analysis, and feedback mechanisms.
•    Consult and provide support for development and continuous improvement teams to operationalize design models.
•    Collaborate with project stakeholders and teams to document and support efforts to move recommended learning solutions to scale.
•    Maintain a focus on impact toward sustainability, scalability, and feasibility in alignment with the university’s mission to increase affordability and access to education.
•    Collaborate with internal and external experts to maintain awareness around developments in the field of generative AI for application to online learning 
•    Other duties and responsibilities as assigned. Job duties and responsibilities can change at any time, with or without notice.
 

Minimum Qualifications: 

•    Years of relevant or specific experience: Six years’ experience in instructional technology, instructional design, educational research, online program management, or related field.

•    Academic Degree(s) and/ areas of study: Bachelor’s degree in educational technology, instructional design, curriculum design, or educational psychology.

•    Equivalent of experience in lieu of degree acceptable:  ☐      Yes        No                     

•    Professional Certification(s): N/A

•    Demonstrated experience designing and conducting pilots, prototype evaluations, applied research activities, or experiments in education, including the development of test protocols, evaluation instruments, success measures, quantitative analysis, and evidence-based recommendations.

•    In-depth, practical knowledge, and experience with educational technology and systems: LMS systems, courseware platforms, and authoring/design tools (Articulate, Adobe, etc.).

•    Familiarity of online learning models, preferably in competency based programs and/or alternative learning models and pathways.

•    Confidence in presentation and facilitation skills with senior-level stakeholders.

•    Flexibility in relation to changing deadlines and project priorities.

•    Demonstrated experience leading diverse projects and people.

Preferred Qualifications:

•    Master’s degree or terminal degree in learning science, sociology, psychology, assessment or a related field.

•    Experience conducting applied education research in higher education settings.


We believe real innovation comes from inclusion - where different experiences, perspectives and talents are celebrated. So if you're wondering whether SNHU is right for you, take the leap and apply. You might be just the person we're looking for.


If you have a disability and require a reasonable accommodation to fully engage in any part of the application or hiring process, please complete the Accommodation Request form or contact us at 603-626-9447. A member from the Employee Accommodation Support Center will be in contact with you within two business days to discuss your request.


Compensation


The annual pay range for this position is $66,211.00 - $105,958.00. Actual offer will be based on skills, qualifications, experience and internal equity, in addition to relevant business considerations. We expect this position to be hired in the following target hiring range $73,164.00 - $98,986.00.

Exceptional benefits (because you’re exceptional)

You’re the whole package. Your benefits should be, too. As a full-time employee at SNHU, you’ll get:

  • High-quality, low-deductible medical insurance

  • Low to no-cost dental and vision plans

  • 5 weeks of paid time off (plus almost a dozen paid holidays)

  • Employer-funded retirement

  • Free tuition program

  • Parental leave

  • Mental health and wellbeing resources

Similar Jobs

An Hour Ago
Remote or Hybrid
2 Locations
171K-261K Annually
Senior level
171K-261K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Design and build large-scale mapping algorithms and geospatial data systems for automated map reconstruction and maintenance. Develop lane, road-network, geometry, topology, and map-conflation systems; process sensor and third-party data through distributed pipelines; apply machine learning and computer vision for feature extraction and change detection; and create automated validation and quality systems. Partner with perception, localization, simulation, and platform teams while mentoring engineers and driving technical problems into production.
Top Skills: C++Computer VisionDistributed Data PipelinesGdal/OgrGeojsonGeopandasH3Machine LearningOsmPostgisPythonS2Slam
2 Hours Ago
In-Office or Remote
San Francisco, CA, USA
171K-269K Annually
Senior level
171K-269K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and maintain core infrastructure for developing, training, evaluating, deploying, and operating machine learning models and pipelines for Atlassian’s GenAI products. Solve complex software infrastructure and architecture challenges, lead engineers through technical projects from design to launch, and collaborate with internal teams and customers. The role involves large-scale distributed systems, data processing, cloud platforms, CI/CD, and machine learning lifecycle support.
Top Skills: Amazon EksAmazon KinesisAmazon S3Amazon Web ServicesSparkAws CloudformationAws NetworkingAws SecurityContinuous DeliveryContinuous IntegrationDatabricksDeep LearningJavaKotlinMachine LearningPythonSearch Platforms
2 Hours Ago
In-Office or Remote
San Francisco, CA, USA
171K-269K Annually
Senior level
171K-269K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Design and optimize large-scale machine learning model-serving systems, including distributed infrastructure, load balancing, auto-scaling, batching, caching, and inference optimization. Build highly reliable, high-concurrency services serving billions of requests, improve latency and throughput, benchmark inference engines, and develop CI/CD infrastructure for model deployments. Partner with ML engineers to fine-tune and deploy open-source large language models.
Top Skills: Auto-ScalingBatch SchedulingCC++Ci/CdDistributed SystemsGpu KernelsKv CacheLoad BalancingQuantizationRustSglangSpeculative DecodingTensorrt-LlmTritonVllm

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account