... signals such as images, text and unstructured data to drive true understanding of product knowledge ... Web search, Deep Neural Networks, Classification Systems, Clustering, Natural Language Processing ...
... signals such as images, text and unstructured data to drive true understanding of product knowledge ... Web search, Deep Neural Networks, Classification Systems, Clustering, Natural Language Processing ...
... signals such as images, text and unstructured data to drive true understanding of product knowledge ... Web search, Deep Neural Networks, Classification Systems, Clustering, Natural Language Processing ...
... signals such as images, text and unstructured data to drive true understanding of product knowledge ... Web search, Deep Neural Networks, Classification Systems, Clustering, Natural Language Processing ...
... signal a model could learn from. LLMs changed that. We can now take an ambiguous statement about ... neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with ...
... signal a model could learn from. LLMs changed that. We can now take an ambiguous statement about ... neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with ...
Sr. Applied Scientist, Prime Video - Title Lifecycle Presentation
Seattle, WA · On-site
$104K - $142K/yr
We leverage data signals and rigorous testing to present the most engaging information about our ... neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with ...
Sr. Applied Scientist, Prime Video - Title Lifecycle Presentation
Seattle, WA · On-site
$104K - $142K/yr
We leverage data signals and rigorous testing to present the most engaging information about our ... neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with ...
... signals such as images, text and unstructured data to drive true understanding of product knowledge ... Web search, Deep Neural Networks, Classification Systems, Clustering, Natural Language Processing ...
... signals such as images, text and unstructured data to drive true understanding of product knowledge ... Web search, Deep Neural Networks, Classification Systems, Clustering, Natural Language Processing ...
Machine Learning Engineer (Content Ecology & Creator) -E-commerce Governance
Seattle, WA · On-site
$153K - $300K/yr
What You'll Do 1. Creator Governance & Quality Modeling - Signal-Driven Creator Profiling ... NLP/LLM (Agents/Tuning), Graph Neural Networks (GNN), Sequence Modeling, or Machine Learning - 1+ ...
Machine Learning Engineer (Content Ecology & Creator) -E-commerce Governance
Seattle, WA · On-site
$153K - $300K/yr
What You'll Do 1. Creator Governance & Quality Modeling - Signal-Driven Creator Profiling ... NLP/LLM (Agents/Tuning), Graph Neural Networks (GNN), Sequence Modeling, or Machine Learning - 1+ ...
Member of Technical Staff - Machine Learning Capabilities, New Graduates
Seattle, WA · On-site
$165K - $200K/yr
Design and build RL environments and reward schemes that produce clean, learnable signals for ... Strong expertise in kernel development (CUDA, Triton, Pallas), optimizing non-trivial neural ...
Member of Technical Staff - Machine Learning Capabilities, New Graduates
Seattle, WA · On-site
$165K - $200K/yr
Design and build RL environments and reward schemes that produce clean, learnable signals for ... Strong expertise in kernel development (CUDA, Triton, Pallas), optimizing non-trivial neural ...
We're applying deep expertise in large-scale ML to a fundamentally new domain where the signal ... neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with ...
We're applying deep expertise in large-scale ML to a fundamentally new domain where the signal ... neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with ...
... Develop signals that match product attributes to what the customer actually asked for. - Run ... processing - 1+ years of building large-scale machine-learning infrastructure for online ...
... Develop signals that match product attributes to what the customer actually asked for. - Run ... processing - 1+ years of building large-scale machine-learning infrastructure for online ...
AIML - Machine Learning Engineer, Visual Intelligence Technology
Seattle, WA · On-site
$216.20 - $324.80/hr
... processing to understand queries, taking advantage of petabytes of data and signals from millions ... OpenGL, Metal, Vulcan or neural engine integration / optimization * Experience with OpenGL and/or ...
AIML - Machine Learning Engineer, Visual Intelligence Technology
Seattle, WA · On-site
$216.20 - $324.80/hr
... processing to understand queries, taking advantage of petabytes of data and signals from millions ... OpenGL, Metal, Vulcan or neural engine integration / optimization * Experience with OpenGL and/or ...
Extracting meaningful signals from both 1st-party and 3rd-party data sources * Advancing ... Scaling solutions to efficiently process hundreds of billions of data points * Driving continuous ...
Extracting meaningful signals from both 1st-party and 3rd-party data sources * Advancing ... Scaling solutions to efficiently process hundreds of billions of data points * Driving continuous ...
Sr. Applied Scientist, C360
Seattle, WA · On-site
$104K - $142K/yr
We're applying deep expertise in large-scale ML to a fundamentally new domain where the signal ... neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with ...
Sr. Applied Scientist, C360
Seattle, WA · On-site
$104K - $142K/yr
We're applying deep expertise in large-scale ML to a fundamentally new domain where the signal ... neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with ...
AIML - Machine Learning Engineer - Computer Vision & Audio, MIND
Seattle, WA · On-site
$142.30 - $263.30/hr
... Neural Design (MIND) team, part of Apple's AIML organization, is leading Apple-wide innovation on ... In this role, you will focus on designing and scaling high‑performance data processing pipelines ...
AIML - Machine Learning Engineer - Computer Vision & Audio, MIND
Seattle, WA · On-site
$142.30 - $263.30/hr
... Neural Design (MIND) team, part of Apple's AIML organization, is leading Apple-wide innovation on ... In this role, you will focus on designing and scaling high‑performance data processing pipelines ...
The Machine Intelligence, Neural Design (MIND) team, part of Apple's AIML organization, is leading ... In this role, you will focus on designing and scaling high-performance data processing pipelines ...
The Machine Intelligence, Neural Design (MIND) team, part of Apple's AIML organization, is leading ... In this role, you will focus on designing and scaling high-performance data processing pipelines ...
Sr. Applied Scientist, Prime Video - Personalization and Discovery Science
Seattle, WA · On-site
$104K - $142K/yr
... and processing data sets on a scale that only a few companies in the world can match. This will ... behavioral signal (to tackle the cold-start title problem). It will also allow us to find our ...
Sr. Applied Scientist, Prime Video - Personalization and Discovery Science
Seattle, WA · On-site
$104K - $142K/yr
... and processing data sets on a scale that only a few companies in the world can match. This will ... behavioral signal (to tackle the cold-start title problem). It will also allow us to find our ...
Neural Signal Processing information
See Seattle, WA salary details
$60.9K - $75.4K
3% of jobs
$75.4K - $89.9K
0% of jobs
$89.9K - $104.3K
3% of jobs
$104.3K - $118.8K
14% of jobs
$122.7K is the 25th percentile. Wages below this are outliers.
$118.8K - $133.3K
18% of jobs
The median wage is $145.6K / yr.
$133.3K - $147.8K
14% of jobs
$147.8K - $162.3K
22% of jobs
$163K is the 75th percentile. Wages above this are outliers.
$162.3K - $176.8K
11% of jobs
$176.8K - $191.2K
6% of jobs
$191.2K - $205.7K
6% of jobs
$205.7K - $220.2K
2% of jobs
$60.9K
$149.5K
$220.2K
How much do neural signal processing jobs pay per year?
As of Aug 16, 2026, the average yearly pay for neural signal processing in Seattle, WA is $149,478.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $167,900.00 per year, depending on experience, location, and employer.
What is the difference between Neural Signal Processing vs Neural Data Analyst?
| Aspect | Neural Signal Processing | Neural Data Analyst |
|---|---|---|
| Required Credentials | Background in neuroscience, signal processing, programming (Python, MATLAB) | Statistics, data analysis, programming (Python, R) |
| Work Environment | Research labs, healthcare, neurotechnology companies | Data-focused roles in research institutions, healthcare, biotech |
| Industry Usage | Designing algorithms for neural signals, signal decoding | Analyzing neural data sets, interpreting results |
Neural Signal Processing involves developing algorithms to analyze and interpret neural signals, often requiring expertise in signal processing and neuroscience. Neural Data Analysts focus on examining neural data sets to extract insights, emphasizing statistical analysis and data interpretation. While both roles work with neural data, Neural Signal Processing is more technical and algorithm-driven, whereas Neural Data Analysts focus on data interpretation and reporting.
What are some common challenges faced by professionals in neural signal processing roles, and how can they be addressed?
Professionals in neural signal processing often face challenges such as managing noisy or artifact-laden data, ensuring real-time processing capabilities, and integrating signals from multiple modalities (e.g., EEG, fMRI). Addressing these challenges typically involves staying updated on advanced filtering techniques, collaborating closely with neuroscientists and engineers, and leveraging robust software tools for data analysis. Continuous learning and teamwork are essential, as projects often require interdisciplinary cooperation and adaptation to evolving research protocols.
What are the key skills and qualifications needed to thrive as a neural signal processing specialist?
To thrive in Neural Signal Processing, you need a solid background in neuroscience, signal processing, and programming, often supported by an advanced degree in biomedical engineering, neuroscience, or related fields. Familiarity with tools like MATLAB, Python, EEG/MEG analysis software, and machine learning frameworks is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, advancement of brain-computer interfaces, and successful contributions to neuroscience research.
What is neural signal processing?
Neural signal processing is the analysis and interpretation of electrical signals generated by neurons in the brain or nervous system. This field combines neuroscience, engineering, and computer science to develop methods and algorithms that can decode, filter, and make sense of complex neural data. Applications include brain-computer interfaces, medical diagnostics, and research into how the brain functions. Neural signal processing is critical for advancing our understanding of neural circuits and developing new treatments for neurological disorders.
What are popular job titles related to Neural Signal Processing jobs in Seattle, WA?
For Neural Signal Processing jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Neural Signal Processing jobs in Seattle, WA look for?
The top searched job categories for Neural Signal Processing jobs in Seattle, WA are:
$129K - $178K/yr
Full-time
Posted 20 days ago
Amazon rating
7.4
Based on 7,091 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the world's largest e-Commerce products catalog. Within this organization the Product Knowledge and Browse Node Classification team is seeking an experienced Technical Program Manager to drive solutions for classifying all products into the Catalog. The problem space consists on developing systems capable of identifying what a product is, mining product information to determine how a product across its different functions should be classified for browsing and searching purposes at high precision, scaling across marketplaces and languages.
Key job responsibilities
You will help build systems that are partially or entirely powered by AI and ML
The systems are responsible for handling continuous incoming traffic of products entering the catalog, building applications for analyzing product composition, mining product signals such as images, text and unstructured data to drive true understanding of product knowledge. As a TPM you will work to build solutions to real world problems, partnering closely with Scientists. The ideal candidate has worked on systems productionizing ML-based systems in one or several of the following fields: Web search, Deep Neural Networks, Classification Systems, Clustering, Natural Language Processing, Personalization, Artificial Intelligence.
A successful candidate will have an established background in building innovative systems from inception to production, scaling systems with large data sets, developing customer-facing experiences, and making data-driven decisions.
About the team
The Product and Browse Node Classification team classifies products into the optimal Product Type, and Browse Node within Amazon's Catalog and MP Taxonomy to ensure that they are discoverable when customers are searching or browsing. Owns Autoclassification systems, Misclassification detection, related services, interfaces and protections to reduce Seller contacts and friction.
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