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Parallel Learning Jobs (NOW HIRING)

Machine Learning Engineer

Phoenix, AZ · On-site

$130K - $150K/yr

Responsibilities include eliminating hardware bottlenecks through CUDA kernel tuning and GPU parallel computing, ensuring deep learning models and CV algorithms seamlessly processing massive, high ...

Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Essential Functions: * Offering ...

Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Essential Functions: * Offering ...

Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Essential Functions: * Offering ...

Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Essential Functions: * Offering ...

Parts Professional

Carthage, IL · On-site

$18 - $25/hr

Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Essential Functions: * Offering ...

Sales Professional

Emmetsburg, IA · On-site

$50 - $300/hr

Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Essential Functions Reasonable ...

Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. To perform this job successfully, an ...

Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. To perform this job successfully, an ...

Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. To perform this job successfully, an ...

Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Essential Functions: Reasonable ...

Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. To perform this job successfully, an ...

Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. To perform this job successfully, an ...

Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Essential Functions: Reasonable ...

Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. To perform this job successfully, an ...

Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. To perform this job successfully, an ...

Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. To perform this job successfully, an ...

Service Professional

Wataga, IL · On-site

$18 - $38/hr

Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. Essential Functions: Reasonable ...

Their purpose is to continue learning the business and gain the knowledge and experience necessary to work within the framework of the Parallel Ag business model. To perform this job successfully, an ...

Showing results 41-60

Parallel Learning information

See salary details

$35K

$82.5K

$162K

How much do parallel learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for parallel learning in the United States is $82,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,500.00 and $108,000.00 per year, depending on experience, location, and employer.

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.

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.

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 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.

More about Parallel Learning jobs

What cities are hiring for Parallel Learning jobs?

Cities with the most Parallel Learning job openings:

What states have the most Parallel Learning jobs?

States with the most job openings for Parallel Learning jobs include:

Infographic showing various Parallel Learning job openings in the United States as of August 2026, with employment types broken down into 73% Full Time, 16% Part Time, and 11% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $82,507 per year, or $39.7 per hour.

Machine Learning Engineer

Prosum Inc.

Phoenix, AZ • On-site

$130K - $150K/yr

Other

Posted 27 days ago


Job description

Job Description
Sr. Machine Learning Engineer
Salary Range: $130k to $150k
Our client is seeking a Sr. Machine Learning Engineering for a direct hire role to sit in North Phoenix, AZ or Hillsboro, OR. This role will be onsite 4 days a week and 1 remote day.
JOB SUMMARY
The role of Senior Machine Learning Engineer will architect and optimize real-time, high-throughput, and ultra-low latency image pipelines for next-generation Mask Inspection Tools. Responsibilities include eliminating hardware bottlenecks through CUDA kernel tuning and GPU parallel computing, ensuring deep learning models and CV algorithms seamlessly processing massive, high-bandwidth streaming data at production scale.
ESSENTIAL DUTIES AND RESPONSIBILITIES
High-Performance Computing Pipeline Architecture
  • Design, implement, and optimize high-throughput, low-latency image processing pipelines for real-time optical inspection and machine vision systems.
  • Develop scalable architectures capable of processing large volumes of imaging data while meeting stringent latency and reliability requirements.
  • Profile and optimize system performance across CPU, GPU, memory, and I/O subsystems.
GPU Acceleration
  • Design, develop, and optimize CUDA kernels to accelerate deep learning inference and classical computer vision algorithms.
  • Maximize GPU utilization through efficient memory management, kernel optimization, and parallel programming techniques.
  • Evaluate and implement performance improvements using NVIDIA GPU technologies and profiling tools.
Model Deployment & Optimization
  • Optimize, quantize, and deploy machine learning models using TensorRT, ONNX Runtime, or similar inference frameworks.
  • Integrate AI models into production-grade C++ and Python applications.
  • Improve inference throughput, latency, and resource utilization while maintaining model accuracy.
  • Develop automated deployment and validation pipelines for machine learning models.
Concurrency & Systems Optimization
  • Architect and implement multi-threaded, high-concurrency software components for data acquisition, buffering, streaming, and real-time processing.
  • Design robust synchronization and communication mechanisms between hardware interfaces and AI processing pipelines.
  • Optimize end-to-end system performance for deterministic, real-time execution.
Cross-Functional Collaboration
  • Partner with machine learning scientists, computer vision engineers, hardware engineers, and software developers to deliver integrated AI solutions.

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