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Parallel Learning Jobs in California (NOW HIRING)

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Parallel Learning information

See California salary details

$34.5K

$81.4K

$159.9K

How much do parallel learning jobs pay per year?

As of Aug 12, 2026, the average yearly pay for parallel learning in California is $81,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,900.00 and $106,600.00 per year, depending on experience, location, and employer.

What is the difference between Parallel Learning vs Data Analysis?

AspectParallel LearningData Analysis
Required CredentialsOften requires knowledge of machine learning, programming, and statisticsTypically requires statistics, Excel, and data visualization skills
Work EnvironmentTech-focused, research, and development settingsBusiness, finance, healthcare, and various industries
Employer & Industry UsageTech companies, startups, research institutionsCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding roles related to machine learning and AIAnalyzing data to inform business decisions

Parallel Learning involves developing machine learning models and algorithms, often in tech or research environments, requiring programming and statistical skills. Data Analysis focuses on examining datasets to extract insights, used across many industries like finance and healthcare. While both roles involve working with data, Parallel Learning emphasizes creating models, whereas Data Analysis emphasizes interpreting data for decision-making.

What is parallel learning?

Parallel learning is an educational approach where students receive supplemental instruction or interventions alongside their regular classroom learning. This method is often used to provide personalized support, such as special education services or targeted skill development, without removing students from their standard curriculum. By running interventions 'in parallel' with general education, students can address specific learning needs while staying engaged with their peers. Parallel learning can take many forms, including small group sessions, individualized instruction, or online modules.

How does a professional in parallel learning typically collaborate with educators, families, and specialists to support student success?

Professionals in Parallel Learning, such as educational therapists or learning specialists, play a key role in fostering collaboration between students, educators, families, and other specialists. They often coordinate with teachers to adapt curriculum, communicate with families about progress and strategies, and consult with speech-language pathologists or occupational therapists as needed. This interdisciplinary teamwork ensures that interventions are aligned and that each student receives consistent, individualized support. Regular meetings, progress updates, and shared goal-setting are common practices in this collaborative environment.

What are the key skills and qualifications needed to thrive as a learning specialist at Parallel Learning?

To thrive as a Learning Specialist at Parallel Learning, you generally need a background in education, special education, or psychology, often with relevant state certification or licensure. Familiarity with digital assessment tools, remote learning platforms, and individualized education program (IEP) software is typically required. Exceptional interpersonal skills, patience, and adaptability distinguish top performers in supporting diverse learners and collaborating with families and teams. These skills ensure personalized, effective interventions and help students reach their educational goals in a virtual environment.
What are popular job titles related to Parallel Learning jobs in California? For Parallel Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Parallel Learning jobs in California look for? The top searched job categories for Parallel Learning jobs in California are:
What cities in California are hiring for Parallel Learning jobs? Cities in California with the most Parallel Learning job openings:
Parallel Learning jobs near you
Infographic showing various Parallel Learning job openings in California as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $81,427 per year, or $39.1 per hour.

Sr Machine Learning Engineer

The Marlin Alliance

San Diego, CA • On-site

$112K - $154K/yr

Full-time

Re-posted 5 days ago

Job description

The Marlin Alliance, Inc. is seekinga talented and experienced Senior Machine Learning Engineer to join our team. The successful candidate will be expected to design, develop, and implement advanced machine learning models and algorithms in support of naval applications. This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices. The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI solutions that integrate into operational Navy environments.
Incorporated in 2002, The Marlin Alliance is a digital transformation company dedicated to ensuring our clients compete and win in tomorrow's digital world. We specialize in creating technical solutions that allow for seamless execution of automated business processes and the generation of governed, machine-consumable data. From strategic planning to advanced analytics and cybersecurity, our team provides cutting-edge, cross-disciplinary solutions. We are seeking motivated professionals who share our agile, solution-oriented mindset and are ready to deliver the real, practical results relied upon by our clients.
Location:
  • San Diego, CA
  • On site NAVWAR
  • There will be some (15%) travel required to Arlington, VA; Colorado Springs, CO; Charleston, SC; Denver, CO; or other customer locations as needed.

Citizenship and Clearance requirements:
  • US Citizenship is required
  • No Dual Citizenship
  • Active Secret clearance required; TS SCI clearance highly preferred

Responsibilities:
  • Design, develop, and implement machine learning models and algorithms for naval applications.
  • Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments.
  • Perform data preprocessing, feature engineering, model evaluation, and validation.
  • Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements.
  • Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms.
  • Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Contribute to distributed computing and parallel processing approaches to optimize ML model performance.
  • Participate in CI/CD pipeline development, automation, and DevSecOps workflows.
  • Apply cybersecurity principles in the design and deployment of machine learning systems.
  • Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards.
  • Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications.

Required Skills and Experience:
  • 10+ years of experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer.
  • Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications.
  • Strong programming skills in Python.
  • Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes).
  • Familiarity with software engineering best practices, including Git.
  • Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Strong programming skills in Java, C++, Go, or Rust.
  • Experience with distributed computing and parallel processing.
  • Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins).
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work effectively in a collaborative team environment.
  • Previous experience supporting government agencies or military organizations.
  • Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.
  • Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.
  • Ability to perform activities on a reoccurring basis during shipboard operations or testing evolutions.
  • Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).

Preferred Skills and Experience:
  • Experience with cloud-native architecture and software API design.
  • Experience integrating machine learning into operational DoD systems or edge computing environments.
  • Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments.
  • Experience supporting NAVWAR, NIWC Pacific, or other Navy C2/ISR programs.

Education and Certification Requirements:
  • Bachelor of Science degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, or Statistics.
  • Advanced degrees (MS/PhD) in related fields are preferred but not required.
  • Additional certifications in cloud, cybersecurity, AI/ML, or DevSecOps are a plus if required by contract.

Work Environment and Mental/Physical Demands:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.
  • Typical office environment with no unusual hazards.
  • The noise level in the work environment is usually moderate.
  • Constant sitting while using the computer terminal.
  • Constant use of sight abilities while reviewing documents.
  • Constant use of speech/hearing abilities for communication.
  • Occasional reaching, stooping, kneeling, or crouching may be required.
  • Occasional lifting up to 20 pounds.
  • Constant use of mental alertness.
  • Frequent work under deadlines.

Job Classification:
Associate II
$165,000 - $195,000
Disclaimer:
This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.
To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities.
This document does not create an employment contract, implied or otherwise, other than an "at-will" relationship.
An Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.

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