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Remote Learning Development Jobs in San Ramon, CA

Machine Learning Engineer

San Francisco, CA · On-site +1

$164.70K - $266K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Learning and Development: options for coaching, online courses and education reimbursements

Sr. Analyst - Provider Platform

Palo Alto, CA · On-site +1

$115K - $135K/yr

Show how learning pays off: Measure training and LMS impact so development efforts connect clearly ... Remote position with travel required Physical Requirements: Prolonged periods of sitting at a desk ...

A flexible work environment with remote work options. * Opportunity to work with a passionate and ... Professional development opportunities and support for continuous learning. Equal Opportunity ...

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$21

$42

$85

How much do remote learning development jobs pay per hour?

As of May 31, 2026, the average hourly pay for remote learning development in San Ramon, CA is $42.02, according to ZipRecruiter salary data. Most workers in this role earn between $28.99 and $60.72 per hour, depending on experience, location, and employer.

What is a Remote Learning Development job?

A Remote Learning Development job involves designing, creating, and managing online learning experiences for employees, students, or organizations. Professionals in this role develop e-learning courses, training materials, and interactive content using instructional design principles and digital tools. They work with subject matter experts to ensure course content is engaging and effective. This role often requires proficiency in learning management systems (LMS), multimedia production, and educational technology. It is ideal for those with a background in education, instructional design, or digital media.

What are the key skills and qualifications needed to thrive in the Remote Learning Development position, and why are they important?

To excel in Remote Learning Development, you need a strong background in instructional design, curriculum development, and educational technology, often supported by a relevant degree or certification. Familiarity with Learning Management Systems (LMS), authoring tools like Articulate or Captivate, and collaboration platforms is typically required. Excellent communication, creativity, and time management skills enable successful course development and effective remote teamwork. These capabilities are crucial for designing engaging online learning experiences that meet diverse learner needs in virtual environments.

What are some common challenges faced in Remote Learning Development roles, and how can they be addressed?

A common challenge in Remote Learning Development is ensuring high levels of learner engagement when designing courses for online platforms. Team members also often collaborate across different time zones and may face communication barriers without in-person interaction. To overcome these challenges, effective use of interactive multimedia, clear communication strategies, and regular feedback loops are essential. Professionals in this role frequently participate in ongoing training and team meetings to stay aligned on project goals and evolving best practices. Adapting to new technologies and maintaining flexibility are key to delivering impactful learning experiences remotely.
What are the most commonly searched types of Learning Development jobs in San Ramon, CA? The most popular types of Learning Development jobs in San Ramon, CA are:
What job categories do people searching Remote Learning Development jobs in San Ramon, CA look for? The top searched job categories for Remote Learning Development jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Remote Learning Development jobs? Cities near San Ramon, CA with the most Remote Learning Development job openings:
Infographic showing various Remote Learning Development job openings in San Ramon, CA as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $87,408 per year, or $42 per hour.
Senior ML Infrastructure Engineer - Embodied AI

Senior ML Infrastructure Engineer - Embodied AI

General Motors

Sunnyvale, CA • On-site, Remote

$153.20K - $234.10K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


General Motors rating

8.1

Company rating: 8.1 out of 10

Based on 301 frontline employees who took The Breakroom Quiz

5th of 44 rated automakers


Job description

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt.We'returningtoday'simpossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of peopleas we aim to makedriving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role:

Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.

As a Senior MLInfra Engineer, you willwork onthe core systems that enable rapid dataset generation, training,evaluationand iteration of our most advanced Autonomous Driving models.From enabling large foundational driving models to distilling multi-stage production deployed models, your goal will be to dramatically accelerate the machine learning development cycle from one modeling hypothesis to next.

You willdevelopmodel training pipelines that are performant, easy to use, and exceptionally reliable. Your success will be measured by the velocity and impact of the ML models that rely on the scalable, intuitive, and highperformance training platforms you help create.

What You'll Do:

  • Design, implement, and deploy scalable platforms and tools supporting machine learning training and evaluation workflows across GM.

  • Drive complex technical projects with strong ownership of implementation, code quality, and system reliability.

  • Contribute to technical design discussions and architectural decisions while collaborating with senior engineers and technical leads.

  • Work closely with partner teams to ensure platforms meet real-world ML development needs and maximize adoption.

  • Identify technical improvements and help prioritize platform investments to improve performance, reliability, and developer productivity.

  • Contribute to a strong engineering culture through high-quality code reviews, documentation, and operational excellence.

  • Support onboarding and mentoring of junior engineers and interns.

What You'll Bring:

  • 3+ years of experienceworking onlarge-scale distributed systems, applications, or ML infrastructure.

  • Experience designing robust services or frameworks with durable, well-designed APIs.

  • Solid understanding of machine learning workflows and hands-on experience applying ML systems in production environments.

  • Experience building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure.

  • Practical experience across the ML development lifecycle, including model training, deployment, andMLOpspractices.

  • Strong cross-functional collaboration skills across teams and organizations.

  • Strong coding skills in Python or C++.

  • Interestin autonomous driving and large-scale ML systems.

  • BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience.

Nice to Have:

  • Experience with distributed training methodologies.

  • Experience scaling ML training across large GPU/CPU clusters or specialized accelerators.

  • Familiarity with deep learning frameworks such asPyTorchor TensorFlow.

  • Experience with performance profiling and training optimization techniques and their impact on model convergence and performance.

  • Experience with advanced build systems such as Bazel, Buck, Blaze, orCMake.

  • Proficiencywith containerization and orchestration technologies (e.g., Docker, Kubernetes).

Remote/Hybrid:This role is categorized as fully remote or hybrid.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not berepresentative for positionslocatedoutside of the California Bay Area.

  • The salary range for this role is $153,200.00 to $234,100.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

  • Bonus Potential: An incentivepayprogram offers payouts based on company performance, job level, and individual performance.

Benefits:

  • Benefits: GM offers a variety of health and wellbeing benefit programs.Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more.

This job may be eligible forrelocationbenefits.
#GM-AV-1

#LI-CX1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908