At Amazon Industrial Robotics we leverage advanced robotics, machine learning, and artificial ... parallel computing, and GPU architectures, and incorporate them into our tools.
At Amazon Industrial Robotics we leverage advanced robotics, machine learning, and artificial ... parallel computing, and GPU architectures, and incorporate them into our tools.
We apply parallel processing, machine learning and deep learning algorithms to evaluate products and brands in order to identify and prioritize products and brands we should add to Amazon's catalog.
We apply parallel processing, machine learning and deep learning algorithms to evaluate products and brands in order to identify and prioritize products and brands we should add to Amazon's catalog.
At Amazon Industrial Robotics we leverage advanced robotics, machine learning, and artificial ... parallel computing, and GPU architectures, and incorporate them into our tools.
At Amazon Industrial Robotics we leverage advanced robotics, machine learning, and artificial ... parallel computing, and GPU architectures, and incorporate them into our tools.
We apply parallel processing, machine learning and deep learning algorithms to evaluate products and brands in order to identify and prioritize products and brands we should add to Amazon's catalog.
We apply parallel processing, machine learning and deep learning algorithms to evaluate products and brands in order to identify and prioritize products and brands we should add to Amazon's catalog.
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 ...
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 ...
... Custom Learning Services for Enterprises, Lateral Staffing Solutions, Information Technology ... Parallel programming, LINQ Logic apps Enterprise services Advanced design patterns Analytical ...
... Custom Learning Services for Enterprises, Lateral Staffing Solutions, Information Technology ... Parallel programming, LINQ Logic apps Enterprise services Advanced design patterns Analytical ...
The Search WPPO Science team is responsible for developing large-scale machine learning systems ... data mining, parallel and distributed computing, high-performance computing PREFERRED ...
The Search WPPO Science team is responsible for developing large-scale machine learning systems ... data mining, parallel and distributed computing, high-performance computing PREFERRED ...
... learning models for business application - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing ...
... learning models for business application - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing ...
ML infrastructure for model serving: real-time inference at 1M+ QPS, multi-model parallel evaluation, feature hydration, model lifecycle from canary deployment through production monitoring Auction ...
ML infrastructure for model serving: real-time inference at 1M+ QPS, multi-model parallel evaluation, feature hydration, model lifecycle from canary deployment through production monitoring Auction ...
ML infrastructure for model serving: real-time inference at 1M+ QPS, multi-model parallel evaluation, feature hydration, model lifecycle from canary deployment through production monitoring * Auction ...
ML infrastructure for model serving: real-time inference at 1M+ QPS, multi-model parallel evaluation, feature hydration, model lifecycle from canary deployment through production monitoring * Auction ...
Lead projects from concept to reality, rapidly and effectively High Learning Agility: Love to learn ... parallel systems Anticipation of Needs: Identify problems, think creatively, and rapidly produce ...
Lead projects from concept to reality, rapidly and effectively High Learning Agility: Love to learn ... parallel systems Anticipation of Needs: Identify problems, think creatively, and rapidly produce ...
Software Development Manager, Analytics and Data Management
Seattle, WA · On-site
$140K - $185K/yr
... machine learning scientists, SDEs, and BI partners across 7 VP organizations to drive long-term ... tactically, managing parallel workstreams without losing sight of the big picture Key job ...
Software Development Manager, Analytics and Data Management
Seattle, WA · On-site
$140K - $185K/yr
... machine learning scientists, SDEs, and BI partners across 7 VP organizations to drive long-term ... tactically, managing parallel workstreams without losing sight of the big picture Key job ...
Senior LLVM Compiler Engineer
Redmond, WA · On-site
$117K - $160K/yr
... parallel programming models • Familiarity with deep learning frameworks and performance‑critical workloads on NVIDIA GPUs Company : NVIDIA is a computing platform company operating at the ...
Senior LLVM Compiler Engineer
Redmond, WA · On-site
$117K - $160K/yr
... parallel programming models • Familiarity with deep learning frameworks and performance‑critical workloads on NVIDIA GPUs Company : NVIDIA is a computing platform company operating at the ...
Senior Embedded Engineer - Space Systems
$141K - $184K/yr
Lead projects from concept to reality, rapidly and effectively High Learning Agility: Love to learn ... parallel systems Anticipation of Needs: Identify problems, think creatively, and rapidly produce ...
Senior Embedded Engineer - Space Systems
$141K - $184K/yr
Lead projects from concept to reality, rapidly and effectively High Learning Agility: Love to learn ... parallel systems Anticipation of Needs: Identify problems, think creatively, and rapidly produce ...
Software Development Manager, Analytics and Data Management
Seattle, WA · On-site
$140K - $185K/yr
... machine learning scientists, SDEs, and BI partners across 7 VP organizations to drive long-term ... tactically, managing parallel workstreams without losing sight of the big picture Key job ...
Software Development Manager, Analytics and Data Management
Seattle, WA · On-site
$140K - $185K/yr
... machine learning scientists, SDEs, and BI partners across 7 VP organizations to drive long-term ... tactically, managing parallel workstreams without losing sight of the big picture Key job ...
Senior Software Engineer, CUTLASS Kernels
Redmond, WA · On-site
$137K - $180K/yr
Write Tensor Core-based deep learning kernels such as grouped-GEMM, attention, and convolution ... highly parallel accelerators. * Deep understanding of computer architecture and some experience ...
Senior Software Engineer, CUTLASS Kernels
Redmond, WA · On-site
$137K - $180K/yr
Write Tensor Core-based deep learning kernels such as grouped-GEMM, attention, and convolution ... highly parallel accelerators. * Deep understanding of computer architecture and some experience ...
Do you want to join an innovative team of scientists who use machine learning and statistical ... data mining, parallel and distributed computing, high-performance computing PREFERRED ...
Do you want to join an innovative team of scientists who use machine learning and statistical ... data mining, parallel and distributed computing, high-performance computing PREFERRED ...
Senior Software Engineer, CUTLASS Performance
Redmond, WA · On-site
$137K - $180K/yr
Benchmark the performance of state-of-the-art deep learning models' inference and training passes ... Deep understanding of computer architecture and familiarity with GPUs or similar parallel ...
Senior Software Engineer, CUTLASS Performance
Redmond, WA · On-site
$137K - $180K/yr
Benchmark the performance of state-of-the-art deep learning models' inference and training passes ... Deep understanding of computer architecture and familiarity with GPUs or similar parallel ...
Senior AI Performance and Efficiency Engineer
$118K - $163K/yr
... parallel computing frameworks and paradigms. * Dedication to ongoing learning and staying updated on new technologies and innovative methods in the AI/ML infrastructure sector. * Excellent ...
Senior AI Performance and Efficiency Engineer
$118K - $163K/yr
... parallel computing frameworks and paradigms. * Dedication to ongoing learning and staying updated on new technologies and innovative methods in the AI/ML infrastructure sector. * Excellent ...
We harness machine learning at Amazon's scale to make the customer experience easier and smoother ... parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS ...
We harness machine learning at Amazon's scale to make the customer experience easier and smoother ... parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS ...
Parallel Learning information
See Seattle, WA salary details
$52K is the 25th percentile. Wages below this are outliers.
$39.8K - $53K
27% of jobs
$53K - $66.1K
10% of jobs
The median wage is $74.9K / yr.
$66.1K - $79.2K
19% of jobs
$79.2K - $92.4K
9% of jobs
$92.4K - $105.5K
5% of jobs
$116K is the 75th percentile. Wages above this are outliers.
$105.5K - $118.7K
5% of jobs
$118.7K - $131.8K
13% of jobs
$131.8K - $144.9K
0% of jobs
$144.9K - $158.1K
0% of jobs
$158.1K - $171.2K
0% of jobs
$171.2K - $184.4K
11% of jobs
$39.8K
$93.9K
$184.4K
How much do parallel learning jobs pay per year?
As of Aug 12, 2026, the average yearly pay for parallel learning in Seattle, WA is $93,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,900.00 and $122,900.00 per year, depending on experience, location, and employer.
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 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 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:
Amazon rating
7.4
Based on 7,082 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
Amazon Industrial Robotics is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction.
This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models.
At Amazon Industrial Robotics we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence.
The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment.
Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration.
Key job responsibilities
- Collaborate with simulation and robotics experts to translate physical modeling needs into robust, scalable, and maintainable simulation solutions.
- Design and implement high-performance simulation modeling and tools for rigid and deformable body simulation.
- Identify and optimize performance bottlenecks in simulation pipelines to support real-time and batch simulation workflows.
- Help build validation and unit testing pipelines to ensure correctness and physical fidelity of simulation results.
- Identify potential sources of sim-to-real gaps and propose modeling and numerical approximations to reduce them.
- Stay current with the latest advances in numerical methods, parallel computing, and GPU architectures, and incorporate them into our tools.
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 and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US