You will work on cutting-edge diffusion and flow-based models for image, video, and multimodal generation, pushing model quality, efficiency, and scalability. Responsibilities : • Design and ...
You will work on cutting-edge diffusion and flow-based models for image, video, and multimodal generation, pushing model quality, efficiency, and scalability. Responsibilities : • Design and ...
The role involves working on cutting-edge diffusion and flow-based models for image, video, and multimodal generation, focusing on model quality, efficiency, and scalability. Responsibilities : • ...
The role involves working on cutting-edge diffusion and flow-based models for image, video, and multimodal generation, focusing on model quality, efficiency, and scalability. Responsibilities : • ...
Research Scientist - Diffusion Models
San Francisco, CA · On-site
$125 - $150/hr
Overview Diffusion models have transformed image, video, and multimodal AI. We're applying those ... Design rigorous experiments and benchmarks to measure model quality and efficiency. * Collaborate ...
Research Scientist - Diffusion Models
San Francisco, CA · On-site
$125 - $150/hr
Overview Diffusion models have transformed image, video, and multimodal AI. We're applying those ... Design rigorous experiments and benchmarks to measure model quality and efficiency. * Collaborate ...
Diffusion Specialist
Austin, TX · On-site
$180K - $280K/yr
Improve model quality across realism, consistency, controllability, and style fidelity * Optimize diffusion systems for speed, cost, and scalability in production * Collaborate with product and ...
Diffusion Specialist
Austin, TX · On-site
$180K - $280K/yr
Improve model quality across realism, consistency, controllability, and style fidelity * Optimize diffusion systems for speed, cost, and scalability in production * Collaborate with product and ...
Large Machine Learning Model Optimization Engineer, SIML
Seattle, WA · On-site
$142K - $263K/yr
We are directly responsible for the on-device optimization and deployment of the Apple Intelligence LLM and diffusion models. As a Machine Learning Engineer, you will have the opportunity to be at ...
Large Machine Learning Model Optimization Engineer, SIML
Seattle, WA · On-site
$142K - $263K/yr
We are directly responsible for the on-device optimization and deployment of the Apple Intelligence LLM and diffusion models. As a Machine Learning Engineer, you will have the opportunity to be at ...
Research Scientist - World Modeling
Sunnyvale, CA · On-site
$150K - $450K/yr
Experience in large-scale model training (LLMs or Diffusion Models) on large clusters. * Hands-on experience with state-of-the-art video generative models (e.g., Sora, Veo2, MovieGen, CogVideoX, etc.
Research Scientist - World Modeling
Sunnyvale, CA · On-site
$150K - $450K/yr
Experience in large-scale model training (LLMs or Diffusion Models) on large clusters. * Hands-on experience with state-of-the-art video generative models (e.g., Sora, Veo2, MovieGen, CogVideoX, etc.
Research Scientist - World Modeling
$150K - $450K/yr
Experience in large-scale model training (LLMs or Diffusion Models) on large clusters. * Hands-on experience with state-of-the-art video generative models (e.g., Sora, Veo2, MovieGen, CogVideoX, etc.
Quick apply
Research Scientist - World Modeling
$150K - $450K/yr
Experience in large-scale model training (LLMs or Diffusion Models) on large clusters. * Hands-on experience with state-of-the-art video generative models (e.g., Sora, Veo2, MovieGen, CogVideoX, etc.
Required : • MSc or PhD in Machine Learning or Computer Science, or equivalent industry experience. • Experience in large-scale model training (LLMs or Diffusion Models) on large clusters. • ...
Required : • MSc or PhD in Machine Learning or Computer Science, or equivalent industry experience. • Experience in large-scale model training (LLMs or Diffusion Models) on large clusters. • ...
Research Engineer - The Diffusion LLM Team
Sunnyvale, CA · On-site
$150K - $400K/yr
About the Institute of Foundation Models We are a dedicated research lab for building ... The Role As a member of the Diffusion LLM Team at MBZUAI, you will play a central role in designing ...
Research Engineer - The Diffusion LLM Team
Sunnyvale, CA · On-site
$150K - $400K/yr
About the Institute of Foundation Models We are a dedicated research lab for building ... The Role As a member of the Diffusion LLM Team at MBZUAI, you will play a central role in designing ...
We are Genmo, a research lab dedicated to building open, state-of-the-art models for video ... Lead research initiatives in advanced diffusion models for text-to-video generation, focusing on ...
We are Genmo, a research lab dedicated to building open, state-of-the-art models for video ... Lead research initiatives in advanced diffusion models for text-to-video generation, focusing on ...
Research Scientist - World Modeling (Sunnyvale)
Sunnyvale, CA · On-site
$150K - $450K/yr
Experience in large-scale model training (LLMs or Diffusion Models) on large clusters. * Hands‑on experience with state-of-the-art video generative models (e.g., Sora, Veo2, MovieGen, CogVideoX ...
Research Scientist - World Modeling (Sunnyvale)
Sunnyvale, CA · On-site
$150K - $450K/yr
Experience in large-scale model training (LLMs or Diffusion Models) on large clusters. * Hands‑on experience with state-of-the-art video generative models (e.g., Sora, Veo2, MovieGen, CogVideoX ...
Research Engineer - The Diffusion LLM Team
$150K - $400K/yr
About the Institute of Foundation Models We are a dedicated research lab for building ... The Role As a member of the Diffusion LLM Team at MBZUAI, you will play a central role in designing ...
Quick apply
Research Engineer - The Diffusion LLM Team
$150K - $400K/yr
About the Institute of Foundation Models We are a dedicated research lab for building ... The Role As a member of the Diffusion LLM Team at MBZUAI, you will play a central role in designing ...
We are Genmo, a research lab dedicated to building open, state-of-the-art models for video ... Lead research initiatives in advanced diffusion models for text-to-video generation, focusing on ...
Quick apply
We are Genmo, a research lab dedicated to building open, state-of-the-art models for video ... Lead research initiatives in advanced diffusion models for text-to-video generation, focusing on ...
Member of Technical Staff - Model Optimization and Inference (Experienced)
Seattle, WA · On-site
$250K - $350K/yr
Accelerate diffusion model inference - consistency models, step distillation, caching strategies, and custom kernel optimizations * Apply and develop quantization techniques (INT8, INT4, GPTQ, AWQ ...
Member of Technical Staff - Model Optimization and Inference (Experienced)
Seattle, WA · On-site
$250K - $350K/yr
Accelerate diffusion model inference - consistency models, step distillation, caching strategies, and custom kernel optimizations * Apply and develop quantization techniques (INT8, INT4, GPTQ, AWQ ...
Train diffusion models for image and video generation on large GPU clusters. * Fully optimize and profile large distributed training runs across model architectures, kernels, data loading, memory ...
Train diffusion models for image and video generation on large GPU clusters. * Fully optimize and profile large distributed training runs across model architectures, kernels, data loading, memory ...
Member of Technical Staff - Model Optimization and Inference (Experienced)
Seattle, WA · On-site
$250K - $350K/yr
Accelerate diffusion model inference - consistency models, step distillation, caching strategies, and custom kernel optimizations * Apply and develop quantization techniques (INT8, INT4, GPTQ, AWQ ...
Member of Technical Staff - Model Optimization and Inference (Experienced)
Seattle, WA · On-site
$250K - $350K/yr
Accelerate diffusion model inference - consistency models, step distillation, caching strategies, and custom kernel optimizations * Apply and develop quantization techniques (INT8, INT4, GPTQ, AWQ ...
MBZUAI is a dedicated research lab for building and understanding foundation models. The Research Engineer will play a central role in designing, building, and releasing industrial-scale Diffusion ...
MBZUAI is a dedicated research lab for building and understanding foundation models. The Research Engineer will play a central role in designing, building, and releasing industrial-scale Diffusion ...
The Institute of Foundation Models is a dedicated research lab focused on advancing AI through foundation models. The role involves designing, building, and releasing industrial-scale Diffusion Large ...
The Institute of Foundation Models is a dedicated research lab focused on advancing AI through foundation models. The role involves designing, building, and releasing industrial-scale Diffusion Large ...
The work spans modern architectures such as diffusion models, transformers, and learned visual representations, with emphasis on controllability, compute efficiency, and production readiness. This ...
The work spans modern architectures such as diffusion models, transformers, and learned visual representations, with emphasis on controllability, compute efficiency, and production readiness. This ...
MBZUAI is a dedicated research lab for building and understanding foundation models. The Research Engineer will play a central role in designing, building, and releasing industrial-scale Diffusion ...
MBZUAI is a dedicated research lab for building and understanding foundation models. The Research Engineer will play a central role in designing, building, and releasing industrial-scale Diffusion ...
Diffusion Model information
See salary details
$30.05 - $36.08
22% of jobs
$36.34 is the 25th percentile. Wages below this are outliers.
$36.08 - $42.11
60% of jobs
$42.11 - $48.14
0% of jobs
$48.14 - $54.17
0% of jobs
$54.17 - $60.21
0% of jobs
$60.21 - $66.24
0% of jobs
$66.24 - $72.27
0% of jobs
$72.27 - $78.30
0% of jobs
$78.30 - $84.33
0% of jobs
$84.33 - $90.36
0% of jobs
$90.36 - $96.39
17% of jobs
$30
$52
$96
How much do diffusion model jobs pay per hour?
As of Sep 8, 2026, the average hourly pay for diffusion model in the United States is $52.18, according to ZipRecruiter salary data. Most workers in this role earn between $38.46 and $96.15 per hour, depending on experience, location, and employer.
What are diffusion models in machine learning?
Diffusion models are a type of generative model in machine learning that create data, such as images, by simulating a process where noise is gradually removed from a random signal. These models learn to reverse a diffusion process, transforming noisy data into structured outputs that resemble real examples from the training set. They have gained popularity for producing high-quality, realistic images and other media. Diffusion models are used in various applications, including image synthesis, inpainting, and audio generation.
What are the key skills and qualifications needed to thrive as a diffusion model engineer, and why are they important?
To thrive as a Diffusion Model Engineer, you need a strong background in machine learning, deep learning, mathematics, and programming, usually supported by a degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, experience with large-scale data processing, and knowledge of diffusion model architectures are typically required. Creativity, problem-solving, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and advancing research. These skills enable the development and implementation of cutting-edge generative models that drive innovation in AI applications.
What are some common challenges faced by professionals working with diffusion models, and how can these be addressed?
Professionals working with diffusion models often encounter challenges related to computational resource demands, model stability, and data quality. Training large diffusion models can require significant GPU resources and careful tuning to prevent issues like mode collapse or slow convergence. Collaborating closely with data engineers and domain experts helps ensure high-quality, diverse datasets, which are critical for realistic outputs. Staying up-to-date with the latest research and best practices can also help address these challenges and advance your skills in this rapidly evolving field.
What is the difference between Diffusion Model vs Data Scientist?
| Aspect | Diffusion Model | Data Scientist |
|---|---|---|
| Required Credentials | Typically a background in machine learning, statistics, or computer science | Degree in data science, statistics, computer science, or related fields |
| Work Environment | Research labs, AI development teams, tech companies | Business, tech firms, consulting, research institutions |
| Industry Usage | Used in AI image generation, generative modeling | Analyzing data, building predictive models, data visualization |
While both roles involve data and algorithms, a Diffusion Model focuses on developing generative AI models, whereas a Data Scientist analyzes data to inform business decisions. Understanding these differences helps in choosing the right career path or job focus.
Member of Technical Staff -- Diffusion Model
Palo Alto, CA • On-site
RadixArk
Full-time
Re-posted 21 days ago
Job description
Job Summary:
RadixArk is seeking a Member of Technical Staff — Diffusion Model to advance the frontier of generative modeling. You will work on cutting-edge diffusion and flow-based models for image, video, and multimodal generation, pushing model quality, efficiency, and scalability.
Responsibilities:
• Design and develop next-generation diffusion and generative models
• Improve model quality, controllability, and sample efficiency
• Research and implement novel training and sampling methods
• Optimize models for large-scale distributed training
• Collaborate with systems teams to scale training and inference
• Translate research ideas into practical production systems
• Evaluate models using rigorous metrics and benchmarks
• Contribute to long-term research and product direction in generative AI
Qualifications:
Required:
• 5+ years of experience in ML research or applied ML engineering
• Strong expertise in diffusion models or generative models (DDPM, DDIM, latent diffusion, flow matching, etc.)
• Deep understanding of deep learning fundamentals and optimization
• Proven experience training large-scale models on GPUs/TPUs
• Strong proficiency in PyTorch or JAX
• Experience implementing research ideas into working systems
• Strong mathematical foundation in probability, statistics, and optimization
• Ability to move from research prototypes to production-quality models
Preferred:
• Publications in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, etc.)
• Experience with large-scale distributed training
• Experience in multimodal generation (text-to-image, video, audio)
• Familiarity with transformer architectures and hybrid models
• Experience improving sampling speed and generation efficiency
• Contributions to open-source generative model projects
• Experience scaling models to billions of parameters
Company:
RadixArk focuses on developing infrastructure for AI inference and training systems. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.
RadixArk is seeking a Member of Technical Staff — Diffusion Model to advance the frontier of generative modeling. You will work on cutting-edge diffusion and flow-based models for image, video, and multimodal generation, pushing model quality, efficiency, and scalability.
Responsibilities:
• Design and develop next-generation diffusion and generative models
• Improve model quality, controllability, and sample efficiency
• Research and implement novel training and sampling methods
• Optimize models for large-scale distributed training
• Collaborate with systems teams to scale training and inference
• Translate research ideas into practical production systems
• Evaluate models using rigorous metrics and benchmarks
• Contribute to long-term research and product direction in generative AI
Qualifications:
Required:
• 5+ years of experience in ML research or applied ML engineering
• Strong expertise in diffusion models or generative models (DDPM, DDIM, latent diffusion, flow matching, etc.)
• Deep understanding of deep learning fundamentals and optimization
• Proven experience training large-scale models on GPUs/TPUs
• Strong proficiency in PyTorch or JAX
• Experience implementing research ideas into working systems
• Strong mathematical foundation in probability, statistics, and optimization
• Ability to move from research prototypes to production-quality models
Preferred:
• Publications in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, etc.)
• Experience with large-scale distributed training
• Experience in multimodal generation (text-to-image, video, audio)
• Familiarity with transformer architectures and hybrid models
• Experience improving sampling speed and generation efficiency
• Contributions to open-source generative model projects
• Experience scaling models to billions of parameters
Company:
RadixArk focuses on developing infrastructure for AI inference and training systems. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.