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Comfyui Jobs in Virginia (NOW HIRING)

Machine Learning Engineer

Chantilly, VA · Remote

$200K - $240K/yr

Experience with web-based platforms such as ComfyUI , Gradio , and Streamlit is preferred * Apply a solid understanding of digital signal processing (DSP) to build effect chains that transform ...

Experience with web-based platforms such as ComfyUI , Gradio , and Streamlit is preferred * Apply a solid understanding of digital signal processing (DSP) to build effect chains that transform ...

Machine Learning Engineer

Chantilly, VA · On-site

$200K - $240K/yr

Experience with web-based platforms such as ComfyUI , Gradio , and Streamlit is preferred * Apply a solid understanding of digital signal processing (DSP) to build effect chains that transform ...

Machine Learning Engineer

Chantilly, VA · On-site

$200K - $240K/yr

Experience with web-based platforms such as ComfyUI , Gradio , and Streamlit is preferred * Apply a solid understanding of digital signal processing (DSP) to build effect chains that transform ...

Comfyui information

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

To thrive as a ComfyUI Developer, you should have a strong background in Python programming, experience with machine learning workflows, and a solid understanding of UI/UX design principles. Familiarity with frameworks like PyTorch, knowledge of UI toolkits such as PyQT or Tkinter, and experience working in collaborative version control environments (e.g., Git) are often expected. Strong problem-solving skills, effective communication, and a willingness to collaborate with diverse technical teams are highly valuable soft skills. These skills and qualifications are important for efficiently building, improving, and maintaining robust, user-friendly visual interfaces for AI workflows.

What is a comfyui?

A ComfyUI job typically involves working with ComfyUI, a modular and node-based visual workflow system primarily used for AI-driven image generation. Professionals in this role may set up, customize, and optimize workflows for generating AI art, automate tasks, and integrate third-party extensions. The job often requires knowledge of Python, machine learning models, and user interface customization.

What are some common challenges faced by comfyui developers, and how can they overcome them?

ComfyUI Developers often encounter challenges such as integrating complex machine learning pipelines into intuitive user interfaces and ensuring seamless user experiences for a diverse audience. They may need to troubleshoot compatibility issues between different AI frameworks or optimize performance for large-scale data workflows. Overcoming these challenges typically involves close collaboration with data scientists, regular testing, and staying updated with the latest developments in both UI frameworks and AI technologies. Proactive communication and ongoing learning are key to finding innovative solutions and excelling in this role.

What are the most commonly searched types of Comfyui jobs in Virginia? The most popular types of Comfyui jobs in Virginia are:
What are popular job titles related to Comfyui jobs in Virginia? For Comfyui jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Comfyui jobs? Cities in Virginia with the most Comfyui job openings:
Infographic showing various Comfyui job openings in Virginia as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution.

Machine Learning Engineer

SAIC

Chantilly, VA • Remote

$200K - $240K/yr

Full-time

Posted 5 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

79th of 223 rated it services


Job description

Job ID: 2615287

Location: Chantilly, VA, US

Date Posted: 2026-08-05

Category: Information Technology

Subcategory: Data Scientist

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI_wPoly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

SAIC is seeking a skilled Machine Learning Engineer to design, develop, and deploy machine learning (ML) models tailored to diverse applications, while delivering innovative solutions under tight deadlines. The ideal candidate will possess expertise in Docker and containerization, with the ability to build and deploy ML models and tools in offline, standalone environments.

Key Responsibilities:

  • Research and evaluate open-source ML models, fine-tuning them to meet specific operational needs
  • Design and develop custom Python-based applications (desktop and web-based) for hosting ML models
  • Experience with web-based platforms such as ComfyUI, Gradio, and Streamlit is preferred
  • Apply a solid understanding of digital signal processing (DSP) to build effect chains that transform signals to achieve desired outcomes
  • Provide rapid responses to evolving operational requirements, executing agile development to deliver customized solutions
  • Collaborate with a multidisciplinary team to address mission-critical objectives through innovative approaches
  • Leverage data science techniques to evaluate datasets, identify trends, and inform decision-making

Required Skills & Experience:

  • Proficiency in Docker for building and managing containers
  • Strong knowledge of Python programming with a focus on ML application development
  • Familiarity with DSP techniques and their practical application in signal transformation
  • Experience developing and hosting ML models using both desktop and web-based interfaces
  • Ability to work effectively in a fast-paced environment, responding to ad-hoc requests with innovative problem-solving

Join our dynamic team to contribute cutting-edge ML solutions for high-impact projects. Your work will directly support critical mission operations in a challenging, fast-evolving environment.

Qualifications

Required:

  • Must be a US Citizen
  • Must have an active TS/SCI with Poly clearance
  • Bachelor's degree in computer science, math, data science or another technical/scientific field
  • Expertise with Python
    • ML Frameworks (pytorch, tensorflow, onnx)
    • Model hosting frameworks (ComfyUI, steamlit, gradio, FastAPI)
    • Data science libraries (Pandas, Numpy, SciKit-learn, Scipy, matplotlib/seaborn)
    • App Dev Frameworks (PyQt, tkinter)
  • Experience with Docker
  • Familiarity with Linux
  • Familiarity with Windows OS
  • Experience with version control software (Git)

Desired:

  • Audio hardware familiarity
  • Audio engineering/digital processing (DSP) familiarity
  • Kubernetes familiarity
    • Rancher
    • Longhorn
    • ArgoCD
  • Matlab
  • C++ (Cython wrapper around C++ application)

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

What SAIC employees say

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Benefits

Hours and flexibility

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