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.
... Stable Diffusion, HeyGen, N8N). * Strong understanding of performance marketing, brand storytelling, and content operations. * Exceptional communication, presentation, and organizational skills.
Build and maintain performance benchmarking infrastructure for DGX Station-automated regression tracking across key models (LLaMA, GPT, Stable Diffusion, Whisper), framework versions, and driver ...
Diffusion imaging, gradient echo, perfusion Image post-processing and reconstruction Schedule & Work Details: Block Schedule: Monday - Thursday No weekends / No call / No floating Guaranteed stable ...
Diffusion imaging, gradient echo, perfusion Image post-processing and reconstruction Schedule & Work Details: Block Schedule: Monday - Thursday No weekends / No call / No floating Guaranteed stable ...
Our team advances world foundation models to enable high-fidelity, temporally stable video and ... diffusion-based video generation, and neural rendering-inspired representations to improve ...
Stable Diffusion information
See Oregon salary details
$14.23 - $18.18
10% of jobs
$20.39 is the 25th percentile. Wages below this are outliers.
$18.18 - $22.13
28% of jobs
$22.13 - $26.09
4% of jobs
The median wage is $28.72 / hr.
$26.09 - $30.04
13% of jobs
$30.04 - $33.99
6% of jobs
$33.99 - $37.94
9% of jobs
$41.04 is the 75th percentile. Wages above this are outliers.
$37.94 - $41.89
7% of jobs
$41.89 - $45.84
10% of jobs
$45.84 - $49.79
1% of jobs
$49.79 - $53.74
7% of jobs
$53.74 - $57.69
5% of jobs
$14
$33
$57
How much do stable diffusion jobs pay per hour?
As of Jun 9, 2026, the average hourly pay for stable diffusion in Oregon is $33.38, according to ZipRecruiter salary data. Most workers in this role earn between $20.34 and $42.69 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 popular job titles related to Stable Diffusion jobs in Oregon? For Stable Diffusion jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Stable Diffusion jobs in Oregon look for? The top searched job categories for Stable Diffusion jobs in Oregon are:
Other
Posted 17 days ago
Job description
About Us
Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.
Job Description
This is a remote position.
We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.
Key Responsibilities:
Generative AI Model Implementation:
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.
Automation Design and Development:
Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.
Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.
Data Management:
Collect, preprocess, and analyze large datasets for training and validating AI models.
Ensure data privacy and compliance with regulatory requirements during data handling.
System Integration:
Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.
Build and maintain pipelines for real-time AI inference and automation.
Monitoring and Optimization:
Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.
Optimize models and processes based on performance metrics and user feedback.
Research and Innovation:
Stay updated with the latest advancements in Generative AI and automation technologies.
Identify opportunities for implementing cutting-edge AI solutions to address business challenges.
Documentation and Collaboration:
Document technical designs, workflows, and implementation strategies.
Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.
Proficiency in designing and deploying machine learning models, particularly in Generative AI.
Experience with automation tools (e.g., RPA, workflow orchestration tools).
Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).
Solid understanding of data structures, algorithms, and software design principles.
Strong analytical and problem-solving skills.
Excellent communication and teamwork abilities.
Preferred Qualifications:
Experience with NLP, image generation, or multimodal AI models.
Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.
Familiarity with prompt engineering and fine-tuning Generative AI models.
Knowledge of MLOps practices for deploying and maintaining AI solutions.
Previous experience in automation or workflow optimization projects.
Why Join Us?
Work with cutting-edge Generative AI technologies.
Collaborate with a team of forward-thinking innovators.
Make a tangible impact on the future of automation and AI-driven processes.
If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.
About EnthuZiastic
Sourced by ZipRecruiter
Industry
E-learning
Company size
11 - 50 Employees
Headquarters location
San Jose, CA, US
Year founded
2020