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Remote Music Audio Engineer Jobs in Virginia (NOW HIRING)

Machine Learning Engineer

Chantilly, VA · Remote

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a skilled Machine Learning ... Audio engineering/digital processing (DSP) familiarity * Kubernetes familiarity * Rancher

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Remote Music Audio Engineer information

What is the difference between Remote Music Audio Engineer vs Remote Sound Designer?

AspectRemote Music Audio EngineerRemote Sound Designer
CredentialsAudio engineering certifications, music production experienceSound design courses, audio editing skills
Work EnvironmentRecording studios, music production setups, remote studiosPost-production, film, gaming, multimedia projects
Industry UsageMusic, entertainment, broadcastingFilm, gaming, advertising, multimedia

Remote Music Audio Engineers focus on recording, mixing, and mastering music tracks, often working in music studios or remotely. Remote Sound Designers create sound effects and audio elements for various media, including films and games. While both roles require audio skills and remote work capabilities, their primary focus and industry applications differ.

What are the most commonly searched types of Music Audio Engineer jobs in Virginia? The most popular types of Music Audio Engineer jobs in Virginia are:
What are popular job titles related to Remote Music Audio Engineer jobs in Virginia? For Remote Music Audio Engineer jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Remote Music Audio Engineer jobs? Cities in Virginia with the most Remote Music Audio Engineer job openings:

Machine Learning Engineer

SAIC

Chantilly, VA • Remote

$200K - $240K/yr

Full-time

Posted 2 days ago

New


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

78th 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.

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