The Central Learning Solutions (CLS) Science team in Amazon Operations builds state-of-the-art ... parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS ...
The Central Learning Solutions (CLS) Science team in Amazon Operations builds state-of-the-art ... parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS ...
Senior Deep Learning Compiler Engineer - XLA
Redmond, WA · On-site
$117K - $160K/yr
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...
Senior Deep Learning Compiler Engineer - XLA
Redmond, WA · On-site
$117K - $160K/yr
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...
Senior Deep Learning Compiler Engineer - XLA
$117K - $160K/yr
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...
Senior Deep Learning Compiler Engineer - XLA
$117K - $160K/yr
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...
Conversational AI ModEling and Learning (CAMEL) team is part of Amazon Devices organization where ... parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS ...
Conversational AI ModEling and Learning (CAMEL) team is part of Amazon Devices organization where ... parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS ...
GPU-accelerated or parallel algorithms * Reinforcement learning * Combinatorial optimization * Program synthesis or code generation * Formal methods * Machine learning for engineering or scientific ...
Quick apply
GPU-accelerated or parallel algorithms * Reinforcement learning * Combinatorial optimization * Program synthesis or code generation * Formal methods * Machine learning for engineering or scientific ...
... data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations ...
... data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations ...
... data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations ...
... data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations ...
Senior Performance Compiler Engineer - Triton
Seattle, WA · On-site
$118K - $163K/yr
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...
Senior Performance Compiler Engineer - Triton
Seattle, WA · On-site
$118K - $163K/yr
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...
Senior Performance Compiler Engineer - Triton
Seattle, WA · On-site
$118K - $163K/yr
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...
Senior Performance Compiler Engineer - Triton
Seattle, WA · On-site
$118K - $163K/yr
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...
Senior Performance Compiler Engineer - Triton
Redmond, WA · On-site
$117K - $160K/yr
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...
Senior Performance Compiler Engineer - Triton
Redmond, WA · On-site
$117K - $160K/yr
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...
Senior Performance Compiler Engineer - Triton
$117K - $160K/yr
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...
Senior Performance Compiler Engineer - Triton
$117K - $160K/yr
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...
Senior Performance Compiler Engineer - Triton
Redmond, WA · On-site
$117K - $160K/yr
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...
Senior Performance Compiler Engineer - Triton
Redmond, WA · On-site
$117K - $160K/yr
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...
We apply the state-of-the-art parallel processing, machine learning and deep learning algorithms to evaluate millions of products every day and to identify and prioritize new additions to Amazon ...
We apply the state-of-the-art parallel processing, machine learning and deep learning algorithms to evaluate millions of products every day and to identify and prioritize new additions to Amazon ...
We apply the state-of-the-art parallel processing, machine learning and deep learning algorithms to evaluate millions of products every day and to identify and prioritize new additions to Amazon ...
We apply the state-of-the-art parallel processing, machine learning and deep learning algorithms to evaluate millions of products every day and to identify and prioritize new additions to Amazon ...
Senior Software Engineer, CUTLASS Platform
$137K - $180K/yr
... similar parallel processing architectures. * Hands-on compiler design experience, particularly in MLIR. * Understanding of deep learning models, algorithms, and frameworks. NVIDIA is widely ...
Senior Software Engineer, CUTLASS Platform
$137K - $180K/yr
... similar parallel processing architectures. * Hands-on compiler design experience, particularly in MLIR. * Understanding of deep learning models, algorithms, and frameworks. NVIDIA is widely ...
Senior Software Engineer, CUTLASS Platform
$137K - $180K/yr
... parallel processing architectures. Hands-on compiler design experience, particularly in MLIR. Understanding of deep learning models, algorithms, and frameworks. NVIDIA is widely considered to be one ...
Senior Software Engineer, CUTLASS Platform
$137K - $180K/yr
... parallel processing architectures. Hands-on compiler design experience, particularly in MLIR. Understanding of deep learning models, algorithms, and frameworks. NVIDIA is widely considered to be one ...
GPU Compiler Engineer
Redmond, WA · On-site
... parallel computing More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and ...
GPU Compiler Engineer
Redmond, WA · On-site
... parallel computing More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and ...
... parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and ...
... parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and ...
Azure Data Engineer
Redmond, WA · On-site
$61.50 - $76.50/hr
... parallel processing, streaming analytics, and machine learning. • Familiarity with DevOps practices and tools for data platform development and deployment, such as Azure DevOps, GitHub, Azure ...
Azure Data Engineer
Redmond, WA · On-site
$61.50 - $76.50/hr
... parallel processing, streaming analytics, and machine learning. • Familiarity with DevOps practices and tools for data platform development and deployment, such as Azure DevOps, GitHub, Azure ...
Senior Software Engineer
Redmond, WA · On-site
$137K - $180K/yr
You will have the opportunity to work with cutting-edge cloud and machine learning technologies ... systems, parallel or distributed systems (e.g., in open-source projects or production systems)
Senior Software Engineer
Redmond, WA · On-site
$137K - $180K/yr
You will have the opportunity to work with cutting-edge cloud and machine learning technologies ... systems, parallel or distributed systems (e.g., in open-source projects or production systems)
Parallel Learning information
See Seattle, WA salary details
$52K is the 25th percentile. Wages below this are outliers.
$39.9K - $53K
27% of jobs
$53K - $66.1K
10% of jobs
The median wage is $74.9K / yr.
$66.1K - $79.3K
19% of jobs
$79.3K - $92.4K
9% of jobs
$92.4K - $105.6K
5% of jobs
$116.1K is the 75th percentile. Wages above this are outliers.
$105.6K - $118.7K
5% of jobs
$118.7K - $131.9K
13% of jobs
$131.9K - $145K
0% of jobs
$145K - $158.2K
0% of jobs
$158.2K - $171.3K
0% of jobs
$171.3K - $184.5K
11% of jobs
$39.9K
$93.9K
$184.5K
How much do parallel learning jobs pay per year?
As of Sep 1, 2026, the average yearly pay for parallel learning in Seattle, WA is $93,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,900.00 and $123,000.00 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?
| Aspect | Parallel Learning | Data Analysis |
|---|---|---|
| Required Credentials | Often requires knowledge of machine learning, programming, and statistics | Typically requires statistics, Excel, and data visualization skills |
| Work Environment | Tech-focused, research, and development settings | Business, finance, healthcare, and various industries |
| Employer & Industry Usage | Tech companies, startups, research institutions | Corporations, consulting firms, government agencies |
| Common Search & Comparison Intent | Understanding roles related to machine learning and AI | Analyzing 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 are popular job titles related to Parallel Learning jobs in Seattle, WA?
For Parallel Learning jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Parallel Learning jobs in Seattle, WA look for?
The top searched job categories for Parallel Learning jobs in Seattle, WA are:
Applied Scientist II, Central Learning Solutions Science
Bellevue, WA • On-site
Amazon •
IT Services • 10K+ employees10,000+ employees
7.4
Based on 7,133 frontline employees who took The Breakroom Quiz
5th of 39 rated national retailers
Good employer
Recommended by students
Paid breaks
Respectful managers
Good training
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 14 days ago
Job description
The Central Learning Solutions (CLS) Science team in Amazon Operations builds state-of-the-art solutions for enhancing leadership and associate development across the organization. We develop technology and mechanisms to map the learner journeys, answer real-time questions through chat assistants, and drive the right interventions at the right time. As an Applied Scientist on the team, you will play a critical role in driving the design, research, and development of these science initiatives.
The ideal candidate will lead the research on learning and development trends, and develop impactful learning journey roadmap that align with organizational goals and priorities. By parsing the information of different learning courses, they will utilize the latest advances in Gen AI technology to generate the personalized recommendations in real-time for the leadership and associates through chat assistants. As a part of this role, this candidate will collaborate with a large team of experts in the field and move the state of learning experience research forward. They should have the ability to communicate the science insights effectively to both technical and non-technical audiences.
Key job responsibilities
* Apply science models to extract actionable information from learning feedback
* Build recommender systems to generate personalized learning interventions for Ops employees to drive business outcomes and behavioral changes
* Leverage GenAI/Large Language Model (LLM) technology for scaling and automating learning experience workflows
* Design and implement metrics to evaluate the effectiveness of AI models
* Present deep dives and analysis to both technical and non-technical stakeholders, ensuring clarity and understanding and influencing business partners
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually
The ideal candidate will lead the research on learning and development trends, and develop impactful learning journey roadmap that align with organizational goals and priorities. By parsing the information of different learning courses, they will utilize the latest advances in Gen AI technology to generate the personalized recommendations in real-time for the leadership and associates through chat assistants. As a part of this role, this candidate will collaborate with a large team of experts in the field and move the state of learning experience research forward. They should have the ability to communicate the science insights effectively to both technical and non-technical audiences.
Key job responsibilities
* Apply science models to extract actionable information from learning feedback
* Build recommender systems to generate personalized learning interventions for Ops employees to drive business outcomes and behavioral changes
* Leverage GenAI/Large Language Model (LLM) technology for scaling and automating learning experience workflows
* Design and implement metrics to evaluate the effectiveness of AI models
* Present deep dives and analysis to both technical and non-technical stakeholders, ensuring clarity and understanding and influencing business partners
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US
