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 ...
... parallel training, large-scale multi-modal foundation and generative models • Familiarity with parameter-efficient tuning techniques, Reinforcement Learning from Human Feedback (RLHF), and prompt ...
... parallel training, large-scale multi-modal foundation and generative models • Familiarity with parameter-efficient tuning techniques, Reinforcement Learning from Human Feedback (RLHF), and prompt ...
Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training
Seattle, WA · On-site
$139K - $183K/yr
... Learning accelerators This role is for a Senior Machine Learning Engineer in the Distribute ... Distributed training with awareness of strategies like FSDP (Fully-Sharded Data Parallel), PP ...
Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training
Seattle, WA · On-site
$139K - $183K/yr
... Learning accelerators This role is for a Senior Machine Learning Engineer in the Distribute ... Distributed training with awareness of strategies like FSDP (Fully-Sharded Data Parallel), PP ...
Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training
Seattle, WA · On-site
$139K - $183K/yr
... Learning accelerators This role is for a Senior Machine Learning Engineer in the Distribute ... Distributed training with awareness of strategies like FSDP (Fully-Sharded Data Parallel), PP ...
Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training
Seattle, WA · On-site
$139K - $183K/yr
... Learning accelerators This role is for a Senior Machine Learning Engineer in the Distribute ... Distributed training with awareness of strategies like FSDP (Fully-Sharded Data Parallel), PP ...
In parallel, the individual in this role will support program or product teams in developing and ... While we've built learning mechanisms to capture this feedback, we've found we need a way to ...
In parallel, the individual in this role will support program or product teams in developing and ... While we've built learning mechanisms to capture this feedback, we've found we need a way to ...
... parallel, run for hours or days, and collaborate on codebases at a scale that breaks the ... learning and timeseries foundation models. - Mentor and guide junior scientists. - Develop ...
... parallel, run for hours or days, and collaborate on codebases at a scale that breaks the ... learning and timeseries foundation models. - Mentor and guide junior scientists. - Develop ...
In parallel, the individual in this role will support program or product teams in developing and ... While we've built learning mechanisms to capture this feedback, we've found we need a way to ...
In parallel, the individual in this role will support program or product teams in developing and ... While we've built learning mechanisms to capture this feedback, we've found we need a way to ...
... parallel, run for hours or days, and collaborate on codebases at a scale that breaks the ... learning and timeseries foundation models. - Mentor and guide junior scientists. - Develop ...
... parallel, run for hours or days, and collaborate on codebases at a scale that breaks the ... learning and timeseries foundation models. - Mentor and guide junior scientists. - Develop ...
This senior software engineering role is part of the Machine Learning Inference Applications team ... parallel computation, distributed KV cache, speculative decoding, and systems engineering to ...
This senior software engineering role is part of the Machine Learning Inference Applications team ... parallel computation, distributed KV cache, speculative decoding, and systems engineering to ...
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.
This senior software engineering role is part of the Machine Learning Inference Applications team ... parallel computation, distributed KV cache, speculative decoding, and systems engineering to ...
This senior software engineering role is part of the Machine Learning Inference Applications team ... parallel computation, distributed KV cache, speculative decoding, and systems engineering to ...
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.
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 ...
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 ...
C# / .NET with LINQ
Redmond, WA · On-site
... Custom Learning Services for Enterprises, Lateral Staffing Solutions, Information Technology ... Parallel programming, LINQ Logic apps Enterprise services Advanced design patterns Analytical ...
C# / .NET with LINQ
Redmond, WA · On-site
... 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 ...
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 ...
... parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs ...
... parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs ...
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 2, 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:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
This job post has expired 1 day ago. Applications are no longer accepted.
Amazon rating
7.4
Based on 7,133 frontline employees who took The Breakroom Quiz
5th of 39 rated national retailers
Job description
Amazon's Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. We build software to find products not already sold on Amazon and algorithmically add them to the Amazon catalog. Our work involves building state-of-the-art Information Retrieval (IR) systems, extracting structured-data from unstructured-content, automatic item classification, storage systems to hold the massive catalog and distributed systems of cloud-scale. 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's selection efficiently. If you are customer obsessed, dedicated, tenacious and love analyzing huge amount of data, you will have fun solving our business problems of unprecedented scale. In this role, you will build and lead a Product /Program across multiple Amazon teams with the goals of making the most important selection available for our customers, building the framework to capture requirements from WW business teams, analyzing impact, and driving decisions based on insights. Come join us in our journey to make everything - and yes, we do mean *everything* - that anyone wants to buy, available on Amazon!
Our environment is fast-paced and requires a candidate who is flexible, detail-oriented, thrives on ambiguity, and can drive results across cross-functional groups. The ideal candidate will have excellent product management, program management, problem solving and communication skills and be comfortable interacting with technical and non-technical stakeholders at all levels. The candidate should have a history of driving deep insights from complex data, have exceptional business judgement including financial acumen to quickly assess the viability of key decisions, and the ability to write compelling business documents and drive outcomes for senior leadership at Amazon. The ability to influence cross functionally and across the organization, at all levels, will be absolutely critical to success in this role.
Key job responsibilities
- Lead and own the product roadmap and tech initiatives to improve the end-to-end customer impact
- Drive execution of cross-team tech projects from inception to launch, formulate product vision and strategy, define and prioritize road maps, define user stories.
- Understand your customers and their pain points; work with your users and stakeholders to find solutions that help them enable their scenarios.
- Work closely with WW business, Tech, product/ program teams on defining, designing and delivering high-quality products; provide feedback on priorities, outcomes and timelines.
- Engage with teams across Amazon to evangelize your team's products and build relationships.
Identify, assess and mitigate risks, provide escalation management, anticipate and make trade-offs balancing the business needs vs. constraints.
- Clearly communicate plan and project status to management and key product and business stakeholders.
About the team
Amazon's Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. We build software to find products not already sold on Amazon and algorithmically add them to the Amazon catalog. Our work involves building state-of-the-art Information Retrieval (IR) systems, extracting structured-data from unstructured-content, automatic item classification, storage systems to hold the massive catalog and distributed systems of cloud-scale. We apply the state-of-the-art parallel processing, machine learning, Gen AI and deep learning algorithms to evaluate millions of products every day and to identify and prioritize new additions to Amazon's selection efficiently.
BASIC QUALIFICATIONS
- Bachelor's degree
- 7+ years of technical product or program management experience
- Experience with feature delivery and tradeoffs of a product
- Experience as a strong leader who can prioritize well, communicate clearly and effectively influence across cross-functional teams
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience leading cross-organizational programs and setting and holding teams and individuals to timelines and deliverables without explicit authority
PREFERRED QUALIFICATIONS
- Experience working directly with Engineers on product enhancements
- Experience in project management methodologies, business analysis, or process improvement
- Ability to think both strategically and tactically; equally comfortable with long term planning and day to day progress tracking and execution
- Excellent program management and problem solving skills, track record of improving business metrics
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, Seattle - 179,900.00 - 243,400.00 USD annually
Our environment is fast-paced and requires a candidate who is flexible, detail-oriented, thrives on ambiguity, and can drive results across cross-functional groups. The ideal candidate will have excellent product management, program management, problem solving and communication skills and be comfortable interacting with technical and non-technical stakeholders at all levels. The candidate should have a history of driving deep insights from complex data, have exceptional business judgement including financial acumen to quickly assess the viability of key decisions, and the ability to write compelling business documents and drive outcomes for senior leadership at Amazon. The ability to influence cross functionally and across the organization, at all levels, will be absolutely critical to success in this role.
Key job responsibilities
- Lead and own the product roadmap and tech initiatives to improve the end-to-end customer impact
- Drive execution of cross-team tech projects from inception to launch, formulate product vision and strategy, define and prioritize road maps, define user stories.
- Understand your customers and their pain points; work with your users and stakeholders to find solutions that help them enable their scenarios.
- Work closely with WW business, Tech, product/ program teams on defining, designing and delivering high-quality products; provide feedback on priorities, outcomes and timelines.
- Engage with teams across Amazon to evangelize your team's products and build relationships.
Identify, assess and mitigate risks, provide escalation management, anticipate and make trade-offs balancing the business needs vs. constraints.
- Clearly communicate plan and project status to management and key product and business stakeholders.
About the team
Amazon's Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. We build software to find products not already sold on Amazon and algorithmically add them to the Amazon catalog. Our work involves building state-of-the-art Information Retrieval (IR) systems, extracting structured-data from unstructured-content, automatic item classification, storage systems to hold the massive catalog and distributed systems of cloud-scale. We apply the state-of-the-art parallel processing, machine learning, Gen AI and deep learning algorithms to evaluate millions of products every day and to identify and prioritize new additions to Amazon's selection efficiently.
BASIC QUALIFICATIONS
- Bachelor's degree
- 7+ years of technical product or program management experience
- Experience with feature delivery and tradeoffs of a product
- Experience as a strong leader who can prioritize well, communicate clearly and effectively influence across cross-functional teams
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience leading cross-organizational programs and setting and holding teams and individuals to timelines and deliverables without explicit authority
PREFERRED QUALIFICATIONS
- Experience working directly with Engineers on product enhancements
- Experience in project management methodologies, business analysis, or process improvement
- Ability to think both strategically and tactically; equally comfortable with long term planning and day to day progress tracking and execution
- Excellent program management and problem solving skills, track record of improving business metrics
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, Seattle - 179,900.00 - 243,400.00 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