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Senior Elearning Developer Jobs in California (NOW HIRING)

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$131K - $173K/yr

The Marlin Alliance, Inc. is seeking a talented and experienced Senior Machine Learning Engineer to ... Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker ...

IXL Learning

Senior Software Engineer

San Mateo, CA

$130K - $200K/yr

... Learning, developer of personalized learning products used by millions of people globally, is seeking senior software engineers who have a passion for technology and education to help us add new ...

Leidos

Senior Machine Learning Engineer

Vista, CA · On-site

$107K - $195K/yr

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

Leidos

Senior Machine Learning Engineer

Vista, CA · On-site

$107K - $195K/yr

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

NVIDIA

Manager, Deep Learning Algorithms

Santa Clara, CA · On-site

$133K - $136K/yr

NVIDIA is seeking an engineering manager to lead engineering activities related to productizing ... e.g. JIRA, Microsoft Project) Company : NVIDIA is a computing platform company operating at the ...

NVIDIA

Manager, Deep Learning Algorithms

Santa Clara, CA · On-site

$133K - $136K/yr

NVIDIA is seeking an engineering manager to lead engineering activities related to productizing ... e.g. JIRA, Microsoft Project) Company : NVIDIA is a computing platform company operating at the ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

Senior Machine Learning Engineer Brisbane, California At Freenome, we are seeking a Senior Machine ... developer tools like TensorBoard, Wandb, or MLflow. * Experience with cloud platforms (e.g., AWS ...

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Senior Elearning Developer information

What are Senior Elearning Developers?

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.

What are the key skills and qualifications needed to thrive as a Senior Elearning Developer, and why are they important?

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 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 are popular job titles related to Senior Elearning Developer jobs in California? For Senior Elearning Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Senior Elearning Developer jobs in California look for? The top searched job categories for Senior Elearning Developer jobs in California are:
What cities in California are hiring for Senior Elearning Developer jobs? Cities in California with the most Senior Elearning Developer job openings:
Senior Elearning Developer jobs near you
AI Resident - Learning From Videos (LFV)

AI Resident - Learning From Videos (LFV)

Toyota Research Institute

Los Altos, CA • On-site

$45 - $60/hr

Full-time

Medical, Dental, Vision, PTO

Posted 2 days ago

Job description

At Toyota Research Institute (TRI), we're on a mission to improve the quality of human life. We're developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we've built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.


The Team

The Learning From Videos (LFV) team in the Robotics division focuses on the development of foundation models capable of leveraging large-scale multi-modal (RGB, depth, flow, semantics, bounding boxes, tactile, audio, etc) data from multiple domains (driving, robotics, indoors, outdoors, etc) to improve downstream task performance. 

Our approach emphasizes training scalability: by learning from multiple modalities, models can develop useful data-driven priors about 3D geometry, physics, and dynamics for world understanding. 

Our research interests include, but are not limited to:

  • Video Generation
  • World Models
  • 4D Reconstruction
  • Multi-Modal Models
  • Multi-View Geometry
  • Data Augmentation
  • Video-Language-Action Models
We focus primarily on embodied applications and aim to tackle some of the hardest scientific challenges in spatio-temporal reasoning, enabling autonomous agents to operate in real-world, unstructured environments.

The AI Resident

This year-long AI Residency is a research-focused position designed for early-career researchers and engineers who are excited to work on ambitious problems in embodied AI. The resident will be deeply integrated into the LFV team, contributing to both ongoing and new research efforts in areas including:

  • 4D World Models
  • Physical and Embodied Intelligence
  • Multi-Modal Learning


As an AI Resident, you will collaborate closely with researchers and engineers at TRI on high-risk, pushing forward our understanding of spatio-temporal reasoning and zero-shot generalization. This is a research-focused position, targeting the development of methods and techniques that can solve real-world problems. 

We welcome you to join a positive, friendly, and enthusiastic team of researchers, where you will contribute to helping people gain and maintain independence, access, and mobility. We work closely with other Toyota affiliates, and actively collaborate towards research publications and the productization of our developed technologies.

Responsibilities
  • Develop, integrate, and deploy algorithms for Multi-Modal and 4D reasoning targeting physical applications.
  • Handle the ingestion of large-scale datasets for training, including streaming, online, and continual learning.
  • Contribute innovative solutions at the intersection of machine learning, computer vision, and robotics to improve real-world task performance.
  • Work closely with robotics and machine learning researchers and engineers to understand theoretical and practical needs.
  • Follow best practices producing maintainable code, both for internal use as well as for open-sourcing to the scientific community.
  • Contribute to research publications and technical reports.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related technical field.
  • Exceptional candidates with equivalent research experience (e.g., strong publication record, open-source contributions, or industry research experience) are encouraged to apply.
  • Strong background in computer vision and its applications to robotics and embodied systems.
  • Demonstrated research experience through publications, technical projects, or open-source contributions.
  • Strong communication skills and a collaborative mindset, with the ability to learn quickly and contribute to team research efforts.
  • Passionate about assisting and amplifying older adults and those in need through dexterous manipulation, human-robot collaboration, and physical assistance innovation.
Bonus Qualifications
  • Spatio-temporal (4D) computer vision, including multi-view geometry, 3D/4D reconstruction, video generation, self-supervised learning, occlusion reasoning, etc.
  • Large-scale training of multi-modal deep learning methods, both in terms of dataset sizes and model complexity, context length extension, and efficient attention, distributed computing, etc.
  • Application of machine learning and computer vision to embodied applications.
The pay range for this position at commencement of employment is expected to be between $45 and $60/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.

Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
 
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
 
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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