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Learning Disabilities Jobs in Riverside, CA (NOW HIRING)

Yum

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning ... Yum! also provides short-term disability, long-term disability, and life insurance. Employees may ...

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Learning Disabilities information

See Riverside, CA salary details

$11

$23

$40

How much do learning disabilities jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for learning disabilities in Riverside, CA is $23.76, according to ZipRecruiter salary data. Most workers in this role earn between $20.05 and $26.06 per hour, depending on experience, location, and employer.

What are learning disabilities?

Learning disabilities are neurological disorders that affect a person's ability to process information, which can impact skills such as reading, writing, math, and reasoning. They are not related to intelligence or motivation, but rather how the brain receives, processes, and communicates information. Common types include dyslexia (reading difficulties), dyscalculia (math difficulties), and dysgraphia (writing difficulties). With the right support, people with learning disabilities can succeed in school and work. Early identification and intervention are key to effective management.

What are common challenges faced by professionals working with individuals with learning disabilities, and how are these addressed within a team setting?

Professionals supporting individuals with learning disabilities often encounter challenges such as tailoring instruction to diverse learning needs, managing behavioral issues, and ensuring effective communication with families and other specialists. These challenges are typically addressed through collaborative team approaches, including regular meetings with special educators, therapists, and support staff to share strategies and monitor progress. Ongoing professional development and access to specialized resources also help team members stay informed about the latest evidence-based practices, ensuring that each individual's needs are met in a supportive and inclusive environment.

What are the key skills and qualifications needed to thrive as a learning disabilities specialist, and why are they important?

To thrive as a Learning Disabilities Specialist, you need expertise in special education, assessment techniques, and knowledge of learning strategies, typically supported by a degree in special education and relevant state certifications. Familiarity with Individualized Education Program (IEP) software, assistive technology, and diagnostic assessment tools is essential. Compassion, patience, and strong communication skills help specialists build trust with students, families, and colleagues. These skills ensure effective support for individuals with learning disabilities, enabling tailored interventions and promoting academic and personal success.

What is the difference between Learning Disabilities vs Speech-Language Pathologists?

AspectLearning DisabilitiesSpeech-Language Pathologists
Required CredentialsBachelor's degree, often a master's in special education or psychologyMaster's degree in speech-language pathology, certification, licensure
Work EnvironmentSchools, clinics, special education settingsHospitals, schools, clinics, private practice
Industry UsageSpecial education, educational supportHealthcare, educational support, rehabilitation
Common Search/ComparisonUnderstanding learning challengesSpeech and language issues

Learning Disabilities and Speech-Language Pathologists both work in educational and healthcare settings, but they focus on different areas. Learning Disabilities specialists address broader learning challenges, while Speech-Language Pathologists focus specifically on speech and language disorders. Both roles require specialized training and serve distinct but sometimes overlapping needs in supporting individuals' development and learning.

What qualifications do you need to work with learning disabilities?

To work with learning disabilities, individuals typically need a relevant degree such as a bachelor's or master's in special education, psychology, or a related field. Certification or licensure, such as a teaching credential or special education certification, is often required, along with strong communication and patience skills.

What are popular job titles related to Learning Disabilities jobs in Riverside, CA?

For Learning Disabilities jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Learning Disabilities jobs in Riverside, CA look for?

The top searched job categories for Learning Disabilities jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Learning Disabilities jobs?

Cities near Riverside, CA with the most Learning Disabilities job openings:

Learning Disabilities jobs near you
Infographic showing various Learning Disabilities job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 27% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $49,424 per year, or $23.8 per hour.

Sr Machine Learning Engineer

Yum

Irvine, CA • On-site

$112K - $154K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Yum! Brands rating

5.4

Company rating: 5.4 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description


We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data Scientists, Data Engineers, and Analytics stakeholders to deploy, maintain, and improve production ML workflows across AWS. The ideal candidate combines strong software engineering and MLOps fundamentals with a passion for building reliable, scalable machine learning systems.
Responsibilities
  • Support the deployment, monitoring, and ongoing maintenance of media measurement and customer modeling systems in partnership with Data Science and Engineering teams.
  • Develop and maintain SageMaker processing and training jobs, model endpoints, and supporting infrastructure across development, testing, and production environments.
  • Contribute to Step Functions, Lambda functions, and Airflow (MWAA) workflows that orchestrate model training, scoring, retraining, and analytics pipelines.
  • Support MLflow model registration and promotion processes, configuration management, and versioned model artifacts.
  • Build and maintain Docker images, ECR repositories, and GitLab CI/CD pipelines to enable reliable model deployment and release processes.
  • Help productionize machine learning models and data pipelines that support customer analytics, scoring, and decisioning use cases.
  • Investigate and resolve production issues using CloudWatch, DataDog, SageMaker logs, and workflow monitoring tools.
  • Collaborate with cross-functional partners to implement platform enhancements, improve operational reliability, and deliver new capabilities.
  • Contribute to engineering best practices, documentation, testing strategies, and operational procedures.

Qualifications
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
  • 3+ years of experience in Machine Learning Engineering, MLOps, Software Engineering, or related technical roles.
  • Strong Python development skills, including experience with pandas, PyTorch, scikit-learn, boto3, and SQL.
  • Experience working with AWS services such as SageMaker, Step Functions, Lambda, S3, IAM, and ECR.
  • Experience developing or supporting orchestration workflows using Airflow, Glue, or similar technologies.
  • Familiarity with cloud-based data platforms such as Snowflake, Redshift, or Athena.
  • Experience with Docker, CI/CD pipelines, source control workflows, and software development best practices.
  • Strong troubleshooting and debugging skills across distributed systems and machine learning workflows.
  • Ability to collaborate effectively with technical and non-technical stakeholders.

Preferred Qualifications
  • Experience with Bayesian or probabilistic modeling frameworks such as PyMC or ArviZ.
  • Familiarity with MLflow, Hydra/OmegaConf, FastAPI, or similar ML platform tooling.
  • Experience supporting deep learning workflows in production environments.
  • Exposure to infrastructure-as-code tools such as Terraform, Terragrunt, or CloudFormation.
  • Experience working with customer analytics, marketing measurement, or recommendation systems.

Salary Range: 129,800 - 162,200 annually + bonus eligibility. This is the expected salary range for this position. Ultimately, in determining pay, we'll consider the successful candidate's location, experience, and other job-related factors.
Benefits: Employees (and their eligible family members) may enroll in the following types of insurance coverage: medical, dental, vision, legal, and accidental death and dismemberment, as well as FSA/HSA (depending on enrolled medical plan). Yum! also provides short-term disability, long-term disability, and life insurance. Employees may enroll in our 401(k) plan. Yum! provides 4 weeks of vacation, paid sick leave, 10 paid holidays, a floating day off and 2 paid days for volunteer time each calendar year. To learn more about working at Yum! -Click here.
At Yum!, one of our core values is to Believe in ALL People. This means seeing the value in everyone and unlocking their full potential to be their best self. YUM! Brands, Inc. (including its subsidiaries Yum Restaurant Services Group, LLC ("YRSG") and Yum Connect, LLC ("Yum Digital and Technology")(collectively, "Yum") is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic. Yum! is committed to working with and providing reasonable accommodation to applicants with disabilities or special needs.
US Job Seekers/Employees - Click here to view the "Know Your Rights" poster and supplement and the Pay Transparency Policy Statement.

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