2

Remote Audio Machine Learning Jobs in Ashburn, VA

Data Scientist (Remote)

Washington, DC ยท On-site +1

$135K - $150K/yr

Build and implement machine learning models and/or predictive analytics. * Maintenance of ... Remote - Eastern Standard Time zone - preferred but not required CLEARANCE * U.S. Citizenship ...

Data Scientist (Remote)

VA ยท On-site +1

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City ... NLP, and machine learning (both supervised and unsupervised) to improve relevance and ...

Develop prototypes and systems leveraging AI and Machine Learning for client projects and internal ... Remote work is not permitted. ASSYST Benefits: We are proud to offer a robust benefits package ...

Develop prototypes and systems leveraging AI and Machine Learning for client projects and internal ... Remote work is not permitted. ASSYST Benefits: We are proud to offer a robust benefits package ...

Azure Data Architect

Washington, DC ยท On-site +1

$72.25 - $92.75/hr

Location: 100% Remote. This is a United States based position, and candidates must reside in the ... Expertise in statistical modeling, machine learning algorithms, and data mining techniques. * Must ...

This is a fully remote position for candidates in the continental U.S., with work hours aligned to ... This role involves leveraging cutting-edge technologies, including GenAI and machine learning ...

Senior Software Engineer - Remote

Washington, DC ยท Remote

$138K - $182K/yr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

The Data Scientist II leverages machine learning and Generative AI (LLMs) to deliver scalable, data ... remote location. * Faculty and Federal Work Study roles require access to work in setting which ...

Showing results 41-60

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.

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.

Data Scientist (Remote)

West 4th Strategy

Washington, DC โ€ข On-site, Remote

$135K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 19 days ago


Job description

Data Scientist
ROLE
We need an experienced Data Scientist at the Office of the Under Secretary of the Army for Personnel and Readiness (OUSW(P&R)). The office oversees manpower and personnel data systems in support of Army-wide workforce planning and readiness initiatives. In this role, you will develop and automate Python scripts for data collection, cleaning, and preprocessing; build and implement machine learning models and predictive analytics; maintain and update ETL pipelines for manpower and personnel data sources; create data products and Qlik/Tableau reports and dashboards; and produce documentation covering report usage, data refresh procedures, and dashboard architecture. This is a full-time opportunity. We can offer a competitive salary and a comprehensive benefits package.
Apply today!
RESPONSIBILITIES
  • Develop and automate Python scripts for collecting, cleaning and preprocessing data.
  • Work with cross functional teams to translate business requirements into data-driven solutions.
  • Create reports and visualizations in Qlik sense to communicate findings and insights effectively, matching needs of stakeholders and users.
  • Build and implement machine learning models and/or predictive analytics.
  • Maintenance of Historical Data for Faces to Spaces Data Model
    • Troubleshooting issues with ETL to a quick resolution
    • Updating ETL to reflect new data elements for new and existing manpower and personnel data sources
    • Data ingestion and transformation
    • Monthly updates / automation of new data ingestion and visualization
  • Create Data Products
    • Interpret data requirements and develop Qlik/Tableau Reports
    • Refactoring/repointing data ingest of dashboards from databases
    • Create documentation on how to use reports, how to refresh the data and overall dashboard architecture

REQUIRED EDUCATION / CERTIFICATIONS
  • Bachelor's degree in information technology, computer science, mathematics, or a related field - required

REQUIRED EXPERIENCE / SKILLS
  • 3-10 years' experience directly related to the outlined role responsibilities
  • 3 years' experience as a Data Analyst or Data Scientist, with demonstrated hands-on experience with technologies such as Databricks, Python, Spark, and Pandas
  • Proficiency in Qlik
  • Experience with building, training and deploying machine learning
  • Detail-oriented mindset with a commitment to delivering high-quality results with little direction/oversight
  • Comfortable using AI tools to improve product quality and delivery speed

PREFERRED EXPERIENCE / SKILLS
  • Experience with Microsoft Power BI
  • Experience with cloud data structures such as AWS S3, delta and external tables
  • Experience with Machine Learning models and/or Generative AI
  • Demonstrated experience building end-to-end data pipelines in Databricks, with a proven ability to integrate existing legacy systems

LOCATION
  • Remote - Eastern Standard Time zone - preferred but not required

CLEARANCE
  • U.S. Citizenship - required
  • Active Secret clearance - required

CLIENT
  • Office of the Under Secretary of War for Personnel and Readiness (OUSW(P&R))
TRAVEL
  • No travel required

WORK HOURS
  • 40 hours per week
  • 8 hours per working day

EMPLOYMENT CLASSIFICATION
  • Employment Classification Eligibility - W2

COMPENSATION
  • Salary range: $135,000 - $150,000
  • Benefits: Benefits package includes options for health, dental, and vision insurance coverage; 401k contribution options

West 4th Strategy is an Equal Opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, gender, sexual orientation, ancestry, national origin, age, marital status, mental disability, physical disability, medical condition, pregnancy, political affiliation, military or veteran status, or any other basis prohibited by federal or state law.
Other Considerations: applicants will be subject to a background investigation. Individual's primary workstation is located in an office area. The noise level in this environment is low to moderate. Regularly required to sit for extended periods up to 80% of the time; frequently required to move about to access file cabinets and use office equipment such as PC, copier, fax, telephone, cell phone, etc. Occasionally required to reach overhead, bend, and lift objects of up to 10 lbs. Specific vision abilities required by this job include the use of computer monitor screens up to 80% of the time.