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Remote Audio Machine Learning Jobs in Ashburn, VA

Comcast

Engineer 6, Machine Learning, Data & AI

Reston, VA · On-site +1

$119K - $143K/yr

... remote option.) Job Summary We are seeking a visionary Senior Technologist, Data & Agentic AI ... Experience supporting AI, machine learning, advanced analytics, or data modernization initiatives.

Comcast

Engineer 6, Machine Learning, Data & AI

Washington, DC · On-site +1

$129K - $155K/yr

... remote option.) Job Summary We are seeking a visionary Senior Technologist, Data & Agentic AI ... Experience supporting AI, machine learning, advanced analytics, or data modernization initiatives.

Cmu

AI Security Software Engineer

Arlington, VA · On-site +1

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

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

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Showing results 21-40

All JobsAudio Machine Learning JobsRemote Audio Machine Learning JobsRemote Audio Machine Learning Jobs in Ashburn, VA

Remote Audio Machine Learning information

See Ashburn, VA salary details

$30.2K

$86.4K

$175.4K

How much do remote audio machine learning jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote audio machine learning in Ashburn, VA is $86,365.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $115,600.00 per year, depending on experience, location, and employer.

What is a remote audio machine learning?

A Remote Audio Machine Learning job involves using machine learning techniques to analyze, process, or generate audio data while working from a remote location. Professionals in this field develop algorithms for tasks such as speech recognition, music classification, noise reduction, or audio synthesis. They often work with large datasets, build and train models, and collaborate with teams online. These roles typically require skills in programming, signal processing, and experience with machine learning frameworks.

What are the key skills and qualifications needed to thrive as a remote audio machine learning engineer?

To thrive as a Remote Audio Machine Learning Engineer, you need strong foundations in digital signal processing, machine learning algorithms, and programming (often Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, and audio processing libraries (e.g., LibROSA), as well as experience with cloud platforms, is highly valuable. Excellent problem-solving skills, self-motivation, and clear remote communication are essential soft skills for collaborating across distributed teams. These competencies enable the development of robust, innovative audio ML solutions while ensuring effective teamwork and project delivery in a remote setting.

How does a remote audio machine learning role typically collaborate with cross-functional teams, and what communication tools are commonly used?

In a Remote Audio Machine Learning position, collaboration with cross-functional teams such as software engineers, data scientists, and product managers is essential. Regular communication is maintained through tools like Slack, Zoom, and project management platforms such as Jira or Trello. Team members often participate in virtual stand-ups, sprint planning sessions, and code reviews to ensure alignment on project goals and timelines. Effective asynchronous communication and clear documentation are especially important in remote settings to keep everyone informed and foster a productive workflow.

What is the difference between Remote Audio Machine Learning vs Remote Audio Engineer?

AspectRemote Audio Machine LearningRemote Audio Engineer
Required CredentialsBackground in machine learning, data science, or AI; often a degree in computer science or related fieldsAudio engineering, sound design, or music production degree or certification
Work EnvironmentPrimarily focused on developing algorithms, data analysis, and model training, often in a tech or research settingRecording, mixing, editing audio, often in studios or remote production setups
Employer & Industry UsageTech companies, research labs, AI startups working on audio recognition or enhancementMusic, film, broadcasting, and media production companies

Remote Audio Machine Learning specialists focus on developing algorithms to process and analyze audio data, while Remote Audio Engineers handle the practical aspects of recording and editing sound. Both roles may collaborate but serve different functions within the audio industry.

What are popular job titles related to Remote Audio Machine Learning jobs in Ashburn, VA?

For Remote Audio Machine Learning jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Remote Audio Machine Learning jobs in Ashburn, VA look for?

The top searched job categories for Remote Audio Machine Learning jobs in Ashburn, VA are:

Remote Audio Machine Learning jobs near you
Infographic showing various Remote Audio Machine Learning job openings in Ashburn, VA as of August 2026, with employment types broken down into 28% Internship, and 72% Full Time. Highlights an 100% Remote job distribution, with an average salary of $86,365 per year, or $41.5 per hour.

Software Engineer / AI & Machine Learning Engineer

Staffed4U

Chantilly, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago

Job description

Software Engineer / AI & Machine Learning Engineer
Location: Chantilly, Virginia
Security Clearance: Active TS/SCI with Polygraph Required
Job Type: Full-Time

Position Overview

The selected candidate will support the design, development, integration, and maintenance of software systems and cloud-based applications in a secure technical environment. This role involves applying software engineering principles, systems analysis, and emerging technologies including artificial intelligence and machine learning to support mission and operational requirements.

Minimum Qualifications
  • Bachelor’s degree and a minimum of three (3) years of relevant experience; OR
  • Seven (7) years of related professional experience in lieu of a degree
  • Minimum of three (3) years of software engineering, systems engineering, or AI/machine learning experience
  • Active TS/SCI clearance with Polygraph
  • Ability to work in a collaborative and fast-paced technical environment
Duties and Responsibilities
  • Analyze software and system requirements to support development and operational needs
  • Design, develop, test, and maintain software applications and system solutions
  • Evaluate and improve software performance, system functionality, and operational efficiency
  • Develop system specifications, technical documentation, and implementation plans
  • Coordinate with technical teams to ensure proper integration and deployment of software solutions
  • Modify existing applications to correct defects, improve performance, or adapt to new technologies
  • Analyze interfaces between hardware and software systems and develop performance requirements
  • Support installation, testing, and maintenance of software systems and cloud-based applications
  • Develop and maintain applications within cloud environments, including modernization of legacy systems
  • Participate in estimating software development schedules, resource requirements, and technical risks
  • Apply analytical and mathematical methods to software design and system performance evaluation
  • Support AI and machine learning initiatives, including data analysis, model development, and automation solutions
  • Provide technical guidance and collaborate with engineers, analysts, and developers on project activities
Required Knowledge, Skills, and Abilities
  • Knowledge of software engineering principles, programming, and systems analysis
  • Understanding of cloud computing concepts and application development environments
  • Ability to analyze user requirements and translate them into technical solutions
  • Experience with software testing, debugging, and performance optimization
  • Strong analytical, problem-solving, and communication skills
  • Ability to work independently and as part of a multidisciplinary team
Preferred Technical Experience

Experience or familiarity with one or more of the following technologies or tools is desirable:

  • Programming languages and software development frameworks
  • Artificial intelligence and machine learning concepts and tools
  • Web application development technologies, including HTML and Apache Struts
  • Software testing and defect tracking tools, like Loadrunner
  • Source code editors and development environments
  • Cloud platforms and application hosting technologies
  • Enterprise servers and distributed computing environments
About the Organization

A dynamic, quality-focused small business providing innovative and mission-oriented solutions to government and commercial customers. The organization supports defense, intelligence, civilian, and commercial sectors through a team of experienced professionals and subject matter experts.

Benefits Summary

Our client offers a comprehensive benefits package to support employee well-being, financial security, professional growth, and work-life balance. Benefits may include:

  • Flexible Time Off
    Employees are encouraged to manage their time responsibly while meeting work requirements and maintaining productivity.
  • Hybrid Work Environment
    Flexible work arrangements may include a combination of remote and onsite work opportunities based on operational needs.
  • Retirement Savings Plan
    Retirement benefits may include participation in a 401(k) savings program with employer contributions.
  • Paid Parental Leave
    Paid leave is available to support employees welcoming a new child through birth, adoption, or foster placement.
  • Comprehensive Health Coverage
    Medical, dental, vision, and other healthcare benefit options are available to support individual and family healthcare needs.
  • Professional Development and Continuing Education
    Opportunities for continued learning, certifications, and job-related training are available to support career growth and advancement.

We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law.