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Creative Learning Systems Jobs in California (NOW HIRING)

Adobe

Staff Machine Learning Engineer

San Jose, CA · On-site +1

... Creative Cloud, enterprise repositories, and emerging agentic AI experiences. We work at the ... Build representation learning systems using LLMs, vision-language models, embedding models, and ...

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Creative Learning Systems information

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$22

$43

$93

How much do creative learning systems jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for creative learning systems in California is $43.25, according to ZipRecruiter salary data. Most workers in this role earn between $33.22 and $49.81 per hour, depending on experience, location, and employer.

What does a typical day look like for someone working in Creative Learning Systems?

Professionals in Creative Learning Systems often spend their days designing multimedia learning materials, collaborating with subject matter experts, and evaluating the effectiveness of instructional content. They might participate in team meetings to align on project goals, research cutting-edge educational technologies, and troubleshoot challenges in curriculum delivery. This role frequently involves balancing independent work with cross-functional teamwork, ensuring that learning solutions are both innovative and practical. The variety and collaborative nature of the work environment make each day dynamic and offer strong opportunities for professional growth.

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

To thrive in a Creative Learning Systems role, you should possess a background in instructional design, educational technology, and curriculum development, often supported by a relevant degree or certification. Familiarity with learning management systems (LMS), authoring tools like Articulate Storyline, and digital media production platforms is typically required. Strong communication, innovative thinking, and project management abilities are essential soft skills for collaboration and problem-solving. These skills enable professionals to design engaging learning experiences that effectively meet educational objectives and adapt to evolving instructional needs.

What is a Creative Learning Systems job?

A Creative Learning Systems job typically involves designing, developing, and implementing innovative educational programs that integrate technology, creativity, and hands-on learning experiences. Professionals in this role often work in schools, libraries, or community centers to foster critical thinking, problem-solving, and collaboration among students. They may also support educators by providing training and resources for incorporating creative learning strategies into their curriculum. The goal is to enhance student engagement and improve learning outcomes through interactive and experiential methods.

What are popular job titles related to Creative Learning Systems jobs in California? For Creative Learning Systems jobs in California, the most frequently searched job titles are:
What job categories do people searching Creative Learning Systems jobs in California look for? The top searched job categories for Creative Learning Systems jobs in California are:
Creative Learning Systems jobs near you
Machine Learning Systems Researcher

Machine Learning Systems Researcher

Lightmatter

Mountain View, CA

Other

Posted 18 days ago

Job description

Lightmatter is seeking a Machine Learning Systems Researcher to join our Machine Learning team. This team is focused on inventing novel hardware systems using Lightmatter technology, and modeling the performance of Lightmatter-enabled systems on both training and inference workloads.

This is primarily a creative role where you need to think outside the box to push the boundaries of systems research with the power of silicon photonics at your fingertips. This role will work closely with our product, solutions architecture, and engineering teams to generate impactful performance analysis, create high-performance rack-scale designs, and publish cutting-edge ML systems research.

Responsibilities

  • Stay up to date on the latest advancements in Machine Learning research.
  • Build tools to model the performance of Passage-enabled systems when running both training and inference workloads for the latest AI models.
  • Collaborate with our product and solutions architecture teams to design compelling reference platforms for our customers, powered by Lightmatter technology. 
  • Function as the Machine Learning expert in the room.
  • Publish academic papers at top industry conferences and journals. Help support the publication of whitepapers, blog posts, and other marketing collateral.

Qualifications

  • PhD in Computer Science, Electrical Engineering, or a related field.
  • 2 - 5 years of industry and/or research experience in the field.
  • Solid background in Machine Learning  systems research and experience with performance evaluation and performance modeling.
  • Hands-on experience with machine learning / deep learning methods and extensive knowledge of Large Language Model training and inference frameworks.
  • Academic publications in relevant journals and industry conferences.
  • Must have knowledge of AI systems, including compute (GPUs, TPUs, etc.) and networking (Ethernet, Infiniband, NVLink, etc.) technologies, and their various topologies, paradigms, and trade-offs.
  • Ability to independently own projects from conception to completion.

Preferred Qualifications

  • Demonstrated ability to creatively problem-solve and apply first-principles thinking to generate novel ideas, particularly in ambiguous, evolving environments.
  • Exceptional skills in communicating complex research outcomes and technical concepts to partners and internal stakeholders, while embodying our value of speaking truth.
  • Ability to work across research, product, and business functions, rolling up your sleeves to bridge gaps and accelerate outcomes, while demonstrating the core value of "we are one Lightmatter."
  • Adaptable and versatile, thriving in a high-speed, high-precision environment.

Apply