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Stable Diffusion Jobs in Seattle, WA (NOW HIRING)

Hands-on experience fine-tuning or deploying generative models (Stable Diffusion, Runway,ComfyUI, or similar). * Background in computer vision or image processing (optical flow, segmentation, depth ...

Stable Diffusion information

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$15

$35

$62

How much do stable diffusion jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for stable diffusion in Seattle, WA is $35.92, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $45.96 per hour, depending on experience, location, and employer.

What are some common challenges faced by Stable Diffusion Engineers in their daily work?

Stable Diffusion Engineers often encounter challenges such as fine-tuning models to balance image quality and computational efficiency, troubleshooting issues with training data consistency, and managing large-scale GPU resources. Collaborating closely with data scientists, artists, and software engineers is essential to ensure that generated images meet project requirements and stakeholder expectations. Additionally, staying current with rapid advancements in generative AI and deep learning techniques is a regular part of the role. These challenges make the position dynamic and rewarding for those who enjoy problem-solving and working on cutting-edge technology in a collaborative environment.

Which 3 jobs will survive AI?

Stable Diffusion professionals, such as AI model trainers, digital artists, and data annotators, are likely to continue being in demand as AI tools require human oversight, creativity, and quality control. Skills in AI ethics, domain expertise, and critical thinking will also remain valuable, as these areas are less easily automated. Jobs that involve complex problem-solving and emotional intelligence are expected to persist despite advances in AI technology.

What are the key skills and qualifications needed to thrive in the Stable Diffusion position, and why are they important?

To excel as a Stable Diffusion Engineer or Specialist, you need a strong background in machine learning, computer vision, and programming, typically supported by experience with deep learning frameworks and image generation models. Familiarity with tools such as Python, TensorFlow or PyTorch, and specific Stable Diffusion model architectures is commonly expected, along with relevant certifications in AI or data science. Problem-solving skills, creativity, and effective collaboration are key soft skills that help address complex image generation tasks and foster innovation within interdisciplinary teams. These abilities are essential for successfully implementing and optimizing diffusion models in real-world applications, ensuring impactful results and project success.

What job makes $10,000 a month without a degree?

In the field of AI and digital art, roles such as freelance Stable Diffusion artists or AI image generators can earn $10,000 or more per month through commissions, licensing, or project-based work. Success typically requires strong skills in AI tools, digital art, and a solid portfolio, often achieved without formal degrees but with significant experience and reputation building.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior machine learning engineers, AI research directors, or data science executives, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leadership, strategic planning, and cutting-edge development in AI technologies, with compensation reflecting the expertise and impact of the position.

What is a Stable Diffusion job?

A Stable Diffusion job typically involves working with AI-powered image generation models, such as Stable Diffusion, to create, fine-tune, or optimize digital artwork and visual content. Responsibilities may include training models, improving prompt engineering, enhancing image quality, and integrating AI-generated visuals into various applications. Roles in this field can range from machine learning engineers and prompt engineers to digital artists and researchers. Skills in Python, deep learning frameworks, and image processing are often valuable.

What jobs pay 2000 a day?

High-paying jobs that can pay around $2,000 a day typically include specialized roles such as senior software engineers, data scientists, anesthesiologists, corporate lawyers, and certain freelance consultants or contractors with in-demand skills. These positions often require advanced education, extensive experience, or certification, and may involve project-based or contract work with flexible schedules.
Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training - Performance Optimization

Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training - Performance Optimization

Amazon

Seattle, WA • On-site

$139K - $183K/yr

Full-time

Posted 15 days ago


Key responsibilities

  • Lead efforts to optimize distributed training performance on Trainium, focusing on maximizing training throughput, model flops utilization, and efficiency across the Neuron software stack.

  • Work across PyTorch, JAX, and the Neuron compiler and runtime to enable and tune large-scale training workloads on the latest Trainium instances.

  • Identify and resolve performance bottlenecks across the stack, including collective communications, memory utilization, compiler optimizations, and kernel performance.


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,911 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.
AWS Neuron is the complete software stack for the AWS Trainium and Inferentia cloud-scale machine
learning accelerators and the Trn3/Trn2/Trn1 and Inf2/Inf1 servers that use them

This role is for a software engineer in the Distributed Training team for AWS Neuron. This role is responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive scale multi-modal large language models like Llama, Qwen, gpt-oss, DeepSeek and beyond, as well as multi-modal generation models such as Stable Diffusion, Flux, WAN, and many more.
The Distributed Training team works side by side with chip architects, compiler engineers and runtime engineers to create, build and tune distributed training solutions with AWS Trainium, maximize training throughput, minimize time-to-convergence, and push the boundaries of training efficiency on Trainium. You will identify and resolve performance bottlenecks across the stack, from collective communications and memory utilization to compiler optimizations and kernel performance.
Key job responsibilities
This role will lead efforts to optimize distributed training performance on Trainium, with a primary focus on maximizing training throughput, model flops utilization, and efficiency across the Neuron software stack

You will work across PyTorch, JAX, and the Neuron compiler and runtime to enable and tune large-scale training workloads on the latest Trainium instances.
About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews

We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

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