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Senior Elearning Developer Jobs in California (NOW HIRING)

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and ... Familiarity with modern data stacks e.g., cloud platforms, data warehouses, MLOps concepts

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and ... Familiarity with modern data stacks e.g., cloud platforms, data warehouses, MLOps concepts

Senior Reinforcement Learning Engineer

Sunnyvale, CA · On-site

$122K - $168K/yr

JOB SUMMARY The Senior Reinforcement Learning Engineer is a key, hands-on role focused on achieving ... Deep, hands-on expertise (5+ years) with common RL frameworks (e.g., PyTorch, JAX) and high ...

New

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123K - $169K/yr

Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D ...

Showing results 41-60

Senior Elearning Developer information

What is a senior elearning developer?

Senior Elearning Developers are experienced professionals who design, develop, and implement online learning materials and courses, often using advanced technologies and instructional design principles. They lead the creation of engaging, interactive content for corporate training, educational institutions, or other organizations. In addition to technical expertise in eLearning tools and platforms, they often manage projects, mentor junior team members, and collaborate with subject matter experts to ensure learning objectives are met. Their role is crucial in delivering effective digital learning experiences that support organizational goals.

How much do senior elearning developers make?

Senior eLearning developers typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. They often possess skills in instructional design, authoring tools, and learning management systems, which can influence salary levels.

What are the key skills and qualifications needed to thrive as a senior elearning developer?

To thrive as a Senior Elearning Developer, you need expertise in instructional design, eLearning authoring tools, multimedia production, and a strong background in education or instructional technology. Mastery of tools such as Articulate Storyline, Adobe Captivate, Learning Management Systems (LMS), and experience with SCORM or xAPI standards are typically required. Strong project management, creative problem-solving, and effective communication skills set standout candidates apart. These competencies ensure the creation of engaging, effective learning experiences and the successful delivery of complex eLearning projects.

What is the difference between Senior Elearning Developer vs Instructional Designer?

AspectSenior Elearning DeveloperInstructional Designer
CredentialsBachelor's degree in Education, Instructional Design, or related field; experience with eLearning toolsBachelor's or Master's in Education, Instructional Design, or related field; certification in instructional design often preferred
Work EnvironmentDevelops and codes eLearning content, often collaborating with designers and subject matter expertsDesigns learning experiences, creates storyboards, and develops instructional strategies
Employer & Industry UsageUsed in corporate training, eLearning companies, and educational institutionsCommon in educational institutions, corporate training, and eLearning development

The main difference is that Senior Elearning Developers focus on the technical development and coding of eLearning content, while Instructional Designers concentrate on designing the learning experience and instructional strategies. Both roles often collaborate but have distinct responsibilities within the eLearning development process.

What skills do you need to be a senior elearning developer?

A senior eLearning developer needs strong skills in instructional design, multimedia development, and eLearning authoring tools such as Articulate Storyline or Adobe Captivate. They should have experience with learning management systems (LMS), programming knowledge like HTML or JavaScript, and the ability to create engaging, interactive content. Additionally, project management and communication skills are important for collaborating with stakeholders and meeting deadlines.

What are some common challenges faced by senior elearning developers when managing multiple projects simultaneously?

Senior Elearning Developers often juggle several projects at once, which can present challenges such as balancing competing deadlines, adapting to different client or stakeholder requirements, and ensuring consistent quality across deliverables. Effective time management, clear communication with cross-functional teams, and the ability to quickly adapt to changing priorities are essential in this role. Utilizing project management tools and establishing transparent workflows can help manage workloads and maintain project timelines while delivering engaging, learner-centered content.

What cities in California are hiring for Senior Elearning Developer jobs?

Cities in California with the most Senior Elearning Developer job openings:

Infographic showing various Senior Elearning Developer job openings in California as of August 2026, with employment types broken down into 71% Full Time, 21% Part Time, and 8% Contract. Highlights an 100% In-person job distribution.

Senior Machine Learning Engineer

Leidos

Vista, CA

$107K - $195K/yr

Full-time

Re-posted yesterday


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

78th of 491 rated business services


Job description

Leidos' Security Enterprise Solutions (SES) operation is seeking a motivated and talented Senior Machine Learning Engineer to join our multidisciplinary, highly energized, and expert data science team. Leidos is a leading innovator in deploying AI solutions, and we are dedicated to pushing the boundaries of technology and data-driven insights. Join our dynamic team and be part of shaping the future and make global impact in border security.

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of cargo and vehicles through ports and borders worldwide. The ideal candidate is a senior level individual contributor and subject matter expert, who excels at taking requirements defined by business needs and generating MLOPS solutions.

Key Responsibilities:

  • Develop, train, and evaluate machine learning models using modern MLOps practices and frameworks

  • Design and maintain reproducible training pipelines that support scalable and repeatable experimentation

  • Collaborate with cross-functional teams to integrate models into operational systems and workflows

  • Optimize model performance and reliability through continuous monitoring, testing, and iteration

Required Qualifications:

Data Science & Technical Foundation

  • MS or Ph.D. in Data Science, Engineering, Applied Science or a similar discipline and a minimum of 10 years of industry experience

  • Ability to support the full ML lifecycle, from data preparation and training to deployment and monitoring

  • Experience tracking experiments, model performance, and model versioning using a platform like MLflow to ensure transparency and auditability

  • Experience with data versioning frameworks like DVC, MLFlow Dataset, or LakeFs

  • Experience deploying and managing machine learning models in production environments using Docker or Kubernetes

  • Familiarity with modern data stacks e.g., cloud platforms, data warehouses, MLOps concepts

  • Ability to evaluate technical approaches and guide technical decision-making

  • Strong track record of delivery ownership and cross-functional collaboration

  • Ability to multitask across projects

  • Excellent communication skills, both written and verbal

  • Some travel is required in support of projects (< 25%)

  • Ability to obtain and maintain Public Trust access.

Desired / Nice-to-Have Qualifications:

  • Experience using Kubeflow or Airflow

  • Familiarity with CNN-based machine learning architectures, e.g., ResNet, Yolo, U-Net

  • Experience working with images from medical, security, or NDT devices

  • Experience defining data science standards and best practices

  • Experience in training machine learning models with synthetic data, that can achieve high detection during real-time inference

  • Experience working on Customs and Border Patrol contracts

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:May 14, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.


What Leidos employees say

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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