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Remote Audio Signal Processing Machine Learning Jobs in Virginia

Software Engineer, Senior

Herndon, VA ยท On-site +1

$126K - $166K/yr

Develop and integrate machine learning workflows - including training data preparation, model ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

Software Engineer, Senior

Herndon, VA ยท On-site +1

$126K - $166K/yr

Develop and integrate machine learning workflows -- including training data preparation, model ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

Software Signals Engineer

Mclean, VA ยท On-site +1

$86K - $198K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... signal processing algorithms or RF theory * Experience with machine learning packages and building ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Artificial Intelligence Machine Learning Engineer

Ashburn, VA ยท On-site +1

$117K - $140K/yr

  • Medical

  • Life

  • Retirement

  • PTO

D. in Computer Science, Machine Learning, Natural Language Processing, or a related discipline ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis) * Experience and knowledge in cybersecurity best practices

AI Security Software Engineer

Arlington, VA ยท On-site +1

  • Retirement

Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis) * Experience and knowledge in cybersecurity best practices

Showing results 21-40

Remote Audio Signal Processing Machine Learning information

What is the difference between Remote Audio Signal Processing Machine Learning vs Remote Audio Engineering?

AspectRemote Audio Signal Processing Machine LearningRemote Audio Engineering
Required CredentialsKnowledge of machine learning, signal processing, programming (Python, MATLAB)Audio engineering certifications, audio production experience
Work EnvironmentResearch labs, tech companies, remote collaborationRecording studios, broadcast companies, remote or onsite
Industry UsageDeveloping algorithms for audio enhancement, noise reduction, speech recognitionMixing, mastering, live sound, audio content creation

Remote Audio Signal Processing Machine Learning focuses on developing algorithms using machine learning techniques to improve audio quality and analysis. In contrast, Remote Audio Engineering involves practical audio production, mixing, and recording tasks. Both roles require audio knowledge, but the former emphasizes programming and data science, while the latter centers on sound quality and production skills.

What are popular job titles related to Remote Audio Signal Processing Machine Learning jobs in Virginia?

For Remote Audio Signal Processing Machine Learning jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Audio Signal Processing Machine Learning jobs in Virginia look for?

The top searched job categories for Remote Audio Signal Processing Machine Learning jobs in Virginia are:

What cities in Virginia are hiring for Remote Audio Signal Processing Machine Learning jobs?

Cities in Virginia with the most Remote Audio Signal Processing Machine Learning job openings:

Software Engineer, Senior

GRVTY

Herndon, VA โ€ข On-site, Remote

$126K - $166K/yr

Full-time

Re-posted 23 days ago


Job description

What Impact You'll Have

GRVTY is looking for a Senior Software Engineer to join a small, technically focused team supporting national security missions at a customer site in Herndon, Virginia. This is hands-on engineering work - you will be designing and building Python-based software tools that support optical signature modeling, spectral data analysis, and machine learning-enabled sensor workflows. The work spans algorithm development, data pipeline construction, and integration of ML capabilities into operational and analytical environments.

You will work directly with scientists, sensor domain experts, and intelligence analysts - translating complex technical requirements into functional, maintainable software. This is not a role for someone looking to coast. We want someone who is technically sharp, can operate with a degree of autonomy, and understands that the software they build has real downstream impact on mission outcomes.

What You'll be Owning

  • Design, develop, and maintain Python-based software tools supporting optical signature modeling, spectral sensor data processing, and analytical workflows.
  • Work with sensor physicists, data scientists, and machine learning engineers to translate technical concepts and mission requirements into working software.
  • Build and optimize data pipelines for ingesting, processing, and analyzing large-scale scientific and sensor datasets.
  • Develop and integrate machine learning workflows - including training data preparation, model integration, and evaluation - into operational toolsets.
  • Create clear software architecture documentation, workflow diagrams, and code structure so tools can be maintained, extended, and transitioned effectively.
  • Test, validate, and troubleshoot algorithms and software modules across development and deployment environments, including classified workspaces.
  • Manage and maintain Git repositories with discipline - clean commits, meaningful documentation, and reproducible builds.
  • Contribute to a culture of technical rigor: peer reviews, coding standards, and honest engagement with complex problems.

What You Must Have

  • Active Top Secret clearance with ability to obtain SCI and CI polygraph.
  • Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a related STEM field. Equivalent hands-on experience will be considered.
    • 9+ years of professional software development experience, with demonstrated focus on scientific computing, algorithm development, data processing, or related technical domains or 7+ years of experience with a Masters degree
  • Expert-level Python programming, including object-oriented design, modular architecture, and production-quality code.
  • Experience developing software for data-intensive workflows - sensor data, scientific data, simulation, or equivalent.
  • Ability to work from technical or scientific requirements and produce well-structured software architecture, logic flows, and implementation plans.
  • Comfortable operating in both Windows and Linux environments, including secure or classified customer workspaces.
  • Familiarity with source control and development tooling: Git, GitLab, Bitbucket, Jira, Jenkins, or equivalent.
  • Strong communication skills - able to work directly with domain experts who are not software engineers and translate what they need into software that actually works.

What Would be Nice to Have

  • Experience with optical signature modeling, EO/IR sensor data, spectral analysis, or hyperspectral data processing.
  • Familiarity with machine learning frameworks and workflows: PyTorch, TensorFlow, scikit-learn, or equivalent.
  • Experience with scientific Python libraries: NumPy, pandas, OpenCV, SciPy, or similar.
  • Background in signal processing, image processing, or remote sensing data workflows.
  • Experience with simulation, modeling, or mission analysis software in a defense or intelligence context.
  • Familiarity with ML/Ops practices - training pipelines, data labeling, model evaluation, and deployment workflows.
  • Experience integrating algorithms into existing operational software suites.
  • Proficiency in a secondary technical language: C, C++, MATLAB, Java, or Rust.
  • Advanced degree in a relevant technical field (Computer Science, Electrical Engineering, Physics, Image Science, or related).
  • Prior experience supporting defense, intelligence, or classified customer environments.
  • Experience with CI/CD practices, automated testing, and DevSecOps tooling.