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Remote Learning Development Jobs in Alameda, CA (NOW HIRING)

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $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

... 3 weeks remote/flexible work per year * Support to Parents Up to 12 weeks of paid parental leave, regardless of your path to parenthood * Learning & Development $1,500 yearly towards your ...

Software Engineer - Kernels

Mountain View, CA · On-site +1

$175K - $400K/yr

... 3 weeks remote/flexible work per year * Support to Parents Up to 12 weeks of paid parental leave, regardless of your path to parenthood * Learning & Development $1,500 yearly towards your ...

Architect

Mountain View, CA · On-site +1

$175K - $450K/yr

... 3 weeks remote/flexible work per year * Support to Parents Up to 12 weeks of paid parental leave, regardless of your path to parenthood * Learning & Development $1,500 yearly towards your ...

SOC Architect

Mountain View, CA · On-site +1

$175K - $450K/yr

... 3 weeks remote/flexible work per year * Support to Parents Up to 12 weeks of paid parental leave, regardless of your path to parenthood * Learning & Development $1,500 yearly towards your ...

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

As part of an interdisciplinary R&D team, they will work in close collaboration with machine ... remote. What you'll do: * Implement and refine DL pipelines on distributed computing platforms ...

... 3 weeks remote/flexible work per year * Support to Parents Up to 12 weeks of paid parental leave, regardless of your path to parenthood * Learning & Development $1,500 yearly towards your ...

Rust Engineer

Mountain View, CA · On-site +1

$175K - $362K/yr

... 3 weeks remote/flexible work per year * Support to Parents Up to 12 weeks of paid parental leave, regardless of your path to parenthood * Learning & Development $1,500 yearly towards your ...

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 ...

ASIC/SOC CAD Engineer

Mountain View, CA · On-site +1

$175K - $362K/yr

... 3 weeks remote/flexible work per year * Support to Parents Up to 12 weeks of paid parental leave, regardless of your path to parenthood * Learning & Development $1,500 yearly towards your ...

Remote (United States) Employment Type: Direct Hire - Full-Time Compensation: $180K-$250K - based ... You'll own the strategy, development, deployment, and evolution of a suite of production machine ...

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Remote Learning Development information

See Alameda, CA salary details

$21

$42

$87

How much do remote learning development jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for remote learning development in Alameda, CA is $42.62, according to ZipRecruiter salary data. Most workers in this role earn between $29.42 and $61.59 per hour, depending on experience, location, and employer.

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 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 the most commonly searched types of Learning Development jobs in Alameda, CA? The most popular types of Learning Development jobs in Alameda, CA are:
What are popular job titles related to Remote Learning Development jobs in Alameda, CA? For Remote Learning Development jobs in Alameda, CA, the most frequently searched job titles are:
What job categories do people searching Remote Learning Development jobs in Alameda, CA look for? The top searched job categories for Remote Learning Development jobs in Alameda, CA are:
What cities near Alameda, CA are hiring for Remote Learning Development jobs? Cities near Alameda, CA with the most Remote Learning Development job openings:
Infographic showing various Remote Learning Development job openings in Alameda, CA as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $88,647 per year, or $42.6 per hour.
Staff ML Infrastructure Engineer - Embodied AI Scaling Foundations

Staff ML Infrastructure Engineer - Embodied AI Scaling Foundations

General Motors

Sunnyvale, CA • On-site, Remote

$189K - $290K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 304 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,239 frontline employees who took The Breakroom Quiz


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 Staff ML Infra Engineer, you willdrive the development of core systems that enable rapiddataset generation,training, evaluation, and iteration of our most advanced Autonomous Driving models.Fromenablinglargefoundational drivingmodels todistilling multi-stage production deployedmodels,yourgoalwill be todramatically accelerate the machine learning development cyclefrom one modeling hypothesis to next.

You will deliver model training pipelinesthat 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:

  • Lead the design, implementation, and deployment of scalable platforms and tools that drive machine learning model training and evaluation workflows across GM.

  • Own complex technical projects end-to-end, making key architectural decisions and technical trade-offs. You will be a core contributor to team planning, design reviews, and code quality.

  • Take a holistic view of projects, considering their impact across multiple teams, and across a longer timeline.

  • Proactively drive technical prioritization. Collaborate closely with partner teams to ensure maximum benefit from the systems we build.

  • Help shape our team through technical interviewing with high, well-calibrated standards, and play an essential role in recruiting.

  • Mentor and onboard junior engineers and interns, helping them grow their careers.

What you'll bring:

  • 5+ years of experience building large-scale distributed systems, applications, or advanced ML systemsscale distributed systems, applications, or advanced ML systems

  • Proventrack recordof designing robust frameworks with high-quality, durable APIs.

  • Deep understanding of machine learning algorithms with handson application

  • Expertisein building reliable, high-performance, and cost-efficient systems on modern cloudinfrastructureperformance

  • End-to-end experience across the ML development lifecycle, includingMLOpspractices

  • Strong cross functional collaboration skills across teams andorganizations

  • Exceptional coding skills in Python or C++

  • Strong interest in autonomous driving and its transformative potential

  • 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 other accelerators

  • Familiarity with deep learning frameworks (e.g.,PyTorch, TensorFlow)

  • Experience with performance profiling andstate-of-the-arttraining optimization techniques, including their impact on model performance oftheart training optimization techniques, including their impact on convergence.

  • Experience with advanced build systems (e.g., Bazel, Buck, Blaze,CMake)

  • 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 $189,300.00 to $290,700.00. 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:

  • 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.

Relocation: This job may be eligible forrelocationbenefits.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible toparticipatein a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participantsare required topurchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

#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