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Unique Learning System Jobs in California (NOW HIRING)

LEARN Academy

Special Education Teacher

Barstow, CA

$66.56K - $85K/yr

In each of the Autism classrooms, our instructors utilize the STAR program (Strategies for Teaching Based on Autism Research) as well as the Unique Learning System which utilizes standards-based ...

LEARN Academy

Special Education Teacher

Barstow, CA

$51.80K - $68.30K/yr

In each of the Autism classrooms, our instructors utilize the STAR program (Strategies for Teaching Based on Autism Research) as well as the Unique Learning System which utilizes standards-based ...

LEARN Academy

Special Education Teacher

Barstow, CA · On-site

$51.80K - $68.30K/yr

In each of the Autism classrooms, our instructors utilize the STAR program (Strategies for Teaching Based on Autism Research) as well as the Unique Learning System which utilizes standards-based ...

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How much do unique learning system jobs pay per hour?

As of May 28, 2026, the average hourly pay for unique learning system in California is $36.79, according to ZipRecruiter salary data. Most workers in this role earn between $27.74 and $46.25 per hour, depending on experience, location, and employer.

What is a Unique Learning System job?

A Unique Learning System (ULS) job typically involves working with a cloud-based special education curriculum designed for students with diverse learning needs. Professionals in these roles may include educators, curriculum specialists, or instructional aides who implement and customize ULS materials to support individualized learning. Responsibilities often include lesson planning, progress monitoring, and adapting instructional strategies to meet students' needs. These jobs are commonly found in special education classrooms, therapy settings, and educational organizations focused on differentiated instruction.

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

To excel as a Unique Learning System Specialist, you should have a background in education, curriculum development, and adaptive instructional strategies, supported by a relevant degree or teaching certification. Familiarity with learning management systems (LMS), data tracking tools, and digital curriculum platforms is typically required. Strong organizational skills, creativity, and the ability to communicate effectively with students, educators, and support staff are key soft skills in this position. These abilities are critical for designing and delivering personalized learning experiences that meet diverse student needs and achievement goals.

What are the typical responsibilities of a Unique Learning System Specialist in a school setting?

A Unique Learning System Specialist is responsible for implementing adaptive curriculum solutions, training teachers on proper usage, and providing ongoing support to ensure students' learning needs are met. They analyze student data, tailor instructional plans, and collaborate with special education teams and classroom teachers to maximize educational outcomes. Daily tasks may involve troubleshooting software issues, conducting workshops, and developing resource materials. This collaborative and support-oriented role directly impacts both teacher efficacy and student success.
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What cities in California are hiring for Unique Learning System jobs? Cities in California with the most Unique Learning System job openings:
Unique Learning System jobs near you
Infographic showing various Unique Learning System job openings in California as of May 2026, with employment types broken down into 4% Internship, 42% Full Time, 50% Part Time, and 4% Contract. Highlights an 100% In-person job distribution, with an average salary of $76,530 per year, or $36.8 per hour.

Photonic Engineer, Machine Learning Systems, Platforms

Google

Sunnyvale, CA • On-site

$117.40K - $160.80K/yr

Full-time

Posted 16 days ago

Google rating

8.7

Company rating: 8.7 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

37th of 184 rated software companies

Job description

Minimum qualifications:
  • PhD degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
  • 2 years of experience working in a high-speed datacom technical environment.

Preferred qualifications:
  • Experience with script writing and test and measurement system automation.
  • Knowledge of large volume high-speed optical transceiver designs and manufacturing.
  • Knowledge of data center network and machine learning system architectures.
  • Proficiency in digital signal processing, high-speed optoelectronic circuit simulation or system modeling.

About the job
Google's machine learning systems use the latest and greatest optical transceiver and optical switching technologies to interconnect TPU and GPU processors.
As a Photonic Engineer for Machine Learning Systems, you will be responsible for creating next generation optical interconnect technologies for TPU systems. You will work with both the optics team and machine learning team to lay out the optical technology road maps to expand future generation machine learning systems.
Our Platforms Infrastructure Engineering team designs and builds the
hardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by custom hardware designed and made in-house. As a hardware engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will see those systems from concepts all the way through to high-volume manufacturing. Your work has the potential to shape the machinery that goes into our data centers, affecting millions of Google users.
The US base salary range for this full-time position is $132,000-$189,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
  • Design low-cost and high-speed optical transceivers for data center applications.
  • Develop optical systems and architectures to expand TPU and GPU superpods.
  • Identify, research, evaluate emerging photonic networking technologies.
  • Explore optical technologies to disaggregate and improve the efficiencies of future computing systems.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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