... GPT, Stable Diffusion, Transformers). • Build custom AI models and pipelines to address domain-specific challenges. 3. Collaboration: • Work closely with data scientists, engineers, and ...
... GPT, Stable Diffusion, Transformers). • Build custom AI models and pipelines to address domain-specific challenges. 3. Collaboration: • Work closely with data scientists, engineers, and ...
AWS Python Developer with Gen AI
Reston, VA · On-site
$52.25 - $72/hr
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. ...
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AWS Python Developer with Gen AI
Reston, VA · On-site
$52.25 - $72/hr
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. ...
Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build custom models for specific use cases.
Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build custom models for specific use cases.
Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build custom models for specific use cases.
Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build custom models for specific use cases.
Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build custom models for specific use cases.
Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build custom models for specific use cases.
Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build custom models for specific use cases.
Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build custom models for specific use cases.
Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build custom models for specific use cases.
Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build custom models for specific use cases.
Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build custom models for specific use cases.
Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build custom models for specific use cases.
Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build custom models for specific use cases.
Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build custom models for specific use cases.
Senior AI Engineer, MarTech
Reston, VA · On-site
$127K - $168K/yr
Build and maintain scalable pipelines for automated ad creative generation (text, image, and video) using LLMs and Multimodal models (Stable Diffusion, GPT-4o, Sora) while ensuring brand-safe ...
Senior AI Engineer, MarTech
Reston, VA · On-site
$127K - $168K/yr
Build and maintain scalable pipelines for automated ad creative generation (text, image, and video) using LLMs and Multimodal models (Stable Diffusion, GPT-4o, Sora) while ensuring brand-safe ...
Visualization Specialist - Junior
$65K - $78K/yr
Preferred candidates will bring additional skills in emerging technologies and software, such as Stable Diffusion, Adobe Creative Suite, Dynamo, Midjourney, Runway, and After Effects. The ideal ...
Visualization Specialist - Junior
$65K - $78K/yr
Preferred candidates will bring additional skills in emerging technologies and software, such as Stable Diffusion, Adobe Creative Suite, Dynamo, Midjourney, Runway, and After Effects. The ideal ...
... safe, stable, and high-yield production across the fab. Responsibilities * Own equipment ... Diffusion, Implant, Facilities, or other fab areas. * Experience with sustaining equipment ...
... safe, stable, and high-yield production across the fab. Responsibilities * Own equipment ... Diffusion, Implant, Facilities, or other fab areas. * Experience with sustaining equipment ...
Stable Diffusion information
See Washington salary details
$15.25 - $19.48
10% of jobs
$21.84 is the 25th percentile. Wages below this are outliers.
$19.48 - $23.71
28% of jobs
$23.71 - $27.94
4% of jobs
The median wage is $30.77 / hr.
$27.94 - $32.18
13% of jobs
$32.18 - $36.41
6% of jobs
$36.41 - $40.64
9% of jobs
$43.97 is the 75th percentile. Wages above this are outliers.
$40.64 - $44.87
7% of jobs
$44.87 - $49.11
10% of jobs
$49.11 - $53.34
1% of jobs
$53.34 - $57.57
7% of jobs
$57.57 - $61.80
5% of jobs
$15
$35
$61
How much do stable diffusion jobs pay per hour?
As of Jun 9, 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 are popular job titles related to Stable Diffusion jobs in Washington? For Stable Diffusion jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Stable Diffusion jobs in Washington look for? The top searched job categories for Stable Diffusion jobs in Washington are:
- Instagram Content Creator
- Monday Through Friday Social Media Marketing
- Social Media Marketing Manager Online
- Freelance Wedding Photo Editor
- Remote Film Media Studies
- Volunteer No Experience Social Media
- Remote Content Creator Instagram
- Remote International Animation
- Remote Wedding Video Editing
- Freelance Fashion Social Media
What cities in Washington are hiring for Stable Diffusion jobs? Cities in Washington with the most Stable Diffusion job openings:
Other
Posted 23 days ago
Job description
Role : Sr Python AI/ML Engineer
Location: Reston, VA (Hybrid) F2F
Any Visa Fine
Experience: 10 Years Experience
Duration : Long term
Job Description
Key Responsibilities
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.
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.