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Stable Diffusion Jobs in Washington (NOW HIRING)

Stable Diffusion information

See Washington salary details

$15

$35

$61

How much do stable diffusion jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for stable diffusion in Washington is $35.75, according to ZipRecruiter salary data. Most workers in this role earn between $21.78 and $45.72 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.

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 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 are the most commonly searched types of Stable Diffusion jobs in Washington? The most popular types of Stable Diffusion jobs in Washington are:
What cities in Washington are hiring for Stable Diffusion jobs? Cities in Washington with the most Stable Diffusion job openings:
Infographic showing various Stable Diffusion job openings in Washington as of July 2026, with employment types broken down into 2% Locum Tenens, 1% Internship, 76% Full Time, 16% Part Time, 4% Contract, and 1% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $74,365 per year, or $35.8 per hour.

AWS Python Developer with Gen AI

Tror AI for everyone

Reston, VA • On-site

$52.25 - $72/hr

Contractor

Posted 11 days ago


Job description

Sr AWS Python Developer with Gen AI
Location- Reston, VA – In Person
Experience : 9 + years of experience

Job Description:
1. Python Development:
* Design, develop, and maintain Python-based applications and tools.
* Write clean, efficient, and reusable code while adhering to best practices.
* Integrate third-party APIs and libraries as needed.
* Perform code reviews, testing, debugging, and optimization.
2. Generative AI Development:
* Develop and fine-tune generative AI models using frameworks like TensorFlow, PyTorch, or Hugging Face.
* Implement machine learning algorithms and deploy AI-powered solutions for specific business requirements.
* Research and experiment with state-of-the-art generative AI techniques (e.g., GPT, Stable Diffusion, Transformers).
* Build custom AI models and pipelines to address domain-specific challenges.
3. Collaboration:
* Work closely with data scientists, engineers, and stakeholders to understand project requirements and deliver solutions.
* Collaborate with UI/UX teams to integrate AI models into applications.
* Participate in Agile workflows, including daily stand-ups, sprint planning, and retrospectives.
4. Deployment & Maintenance:
* Deploy AI solutions on cloud platforms like AWS, Azure, or Google Cloud.
* Monitor system performance and optimize scalability and reliability.
* Troubleshoot issues in production and implement fixes.
5. Documentation:
* Create comprehensive documentation for AI models, tools, and code.
* Provide guidelines for users and teams for seamless integration and usage.
6. L3 Support:
* Investigate, diagnose, and resolve advanced issues related to GenAI solutions, Python applications, and AWS infrastructure.
* Provide root cause analysis (RCA) for production incidents and ensure quick turnaround for issue resolution.
* Collaborate with L1/L2 teams and developers to troubleshoot and resolve complex problems.
* Development and Automation:
* Develop, test, and deploy Python-based scripts, applications, and workflows.
* Automate routine tasks and implement monitoring tools to ensure system reliability.
* AWS Cloud Management:
* Design, implement, and maintain cloud-native solutions on AWS (e.g., Lambda, S3, EC2, SageMaker,EMR,Redshift etc.).
* Optimize AWS services for cost efficiency and performance.
Required Skills and Qualifications
Technical Skills:
* Strong proficiency in Python programming and frameworks (e.g., Flask, FastAPI, Django).
* Hands-on experience with AWS services (e.g., Lambda, S3, EC2, IAM, CloudFormation).
* Experience with GenAI tools (e.g., OpenAI, Hugging Face, or custom LLMs).
* Knowledge of DevOps tools like Docker, Kubernetes, and CI/CD pipelines.
* Familiarity with RESTful APIs and integration of AI/ML solutions.
* Strong debugging and problem-solving skills in production environments.
* Soft Skills:
* Excellent communication and collaboration skills.
* Ability to work in a fast-paced environment and manage competing priorities.
* Education and Experience:
* Bachelor’s degree in Computer Science, Engineering, or a related field.
* 10+ years of experience in software development, with 5+ years in AWS and AI/ML technologies.
Preferred Skills
* Certification in AWS (e.g., AWS Certified Solutions Architect or Developer).
* Certification in AI/ML or cloud technologies (e.g., AWS Certified Machine Learning).

Nagendra

US IT Recruiter | TROR LLC

Ph: 615-857-6282 | Email: nregella@tror.ai

LinkedIn: https://www.linkedin.com/in/nagendra-nag-1b7665b8/

Website: https://tror.ai

Address: 401 Ronan Way, Spring Hill, TN 37174