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Remote Audio Signal Processing Machine Learning Jobs in Haymarket, VA

Senior Data Engineer

Herndon, VA · On-site +1

$150K - $180K/yr

Document data architectures, pipeline processes, and engineering standards. * Evaluate emerging ... machine learning data pipelines and feature engineering concepts. * Experience working in a remote ...

Mission Engineer

Chantilly, VA · On-site +1

$180K - $220K/yr

Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR)

Mission Engineer

Chantilly, VA · On-site +1

$180K - $220K/yr

Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR)

Mission Engineer

Chantilly, VA · On-site +1

$180K - $220K/yr

Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR)

AI/ML Engineer, Mid

Chantilly, VA · On-site +1

$77K - $176K/yr

As an AI/ML Engineer, you know that machine learning is critical to understanding and processing ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

AI & ML Engineer

Chantilly, VA · On-site +1

$99K - $225K/yr

... machine learning is critical to understanding and processing massive datasets. Your ability to ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Showing results 41-60

Remote Audio Signal Processing Machine Learning information

See Haymarket, VA salary details

$29.1K

$83.3K

$169.2K

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

As of Aug 18, 2026, the average yearly pay for remote audio signal processing machine learning in Haymarket, VA is $83,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $111,500.00 per year, depending on experience, location, and employer.

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 cities near Haymarket, VA are hiring for Remote Audio Signal Processing Machine Learning jobs?

Cities near Haymarket, VA with the most Remote Audio Signal Processing Machine Learning job openings:

Infographic showing various Remote Audio Signal Processing Machine Learning job openings in Haymarket, VA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $83,311 per year, or $40.1 per hour.

Senior Data Engineer

Team Velocity

Herndon, VA • On-site, Remote

$150K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers analytics, business intelligence, machine learning, and customer-facing products across our organization. This role will focus on building reliable, high-performance data pipelines and modern data architectures that enable trusted, accessible, and actionable data.
The ideal candidate combines strong software engineering skills with deep expertise in cloud data platforms and distributed data processing. This individual will partner with Product, Engineering, Business Intelligence, Data Science, and business stakeholders to deliver scalable data solutions that support operational, analytical, and AI-driven initiatives.
This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S. Eastern or Central time zones highly preferred, but all are welcome to apply who can support 8:30AM-5:30PM (EST) hours.
Responsibilities
  • Design, build, and maintain scalable data pipelines and ELT/ETL workflows.
  • Develop and optimize data models and enterprise data structures that support reporting, analytics, machine learning, and operational applications.
  • Leverage Snowflake and modern cloud data platforms to ingest, transform, and optimize large datasets.
  • Partner with Business Intelligence and Data Science teams to deliver trusted, production-ready datasets.
  • Design and implement data quality, validation, and monitoring processes.
  • Support both batch and near real-time data integration requirements.
  • Develop APIs and data services that enable internal and customer-facing applications.
  • Optimize data pipeline performance, scalability, and cost efficiency.
  • Document data architectures, pipeline processes, and engineering standards.
  • Evaluate emerging technologies and recommend improvements to the organization's data platform.
  • Mentor team members and help establish engineering best practices.

Qualifications
  • 7+ years of experience in Data Engineering, Software Engineering, or a related field.
  • Strong SQL skills and extensive experience working with modern cloud data platforms, preferably Snowflake.
  • Strong proficiency with Python and data engineering development practices.
  • Experience designing and maintaining large-scale ELT/ETL pipelines.
  • Strong understanding of data modeling, data warehousing, and distributed data architectures.
  • Experience integrating structured and semi-structured data from multiple internal and external sources.
  • Familiarity with data orchestration and transformation frameworks.
  • Strong troubleshooting and performance optimization skills.
  • Excellent communication and stakeholder management skills.
  • Ability to work independently while managing multiple initiatives.

Preferred Qualifications
  • Automotive industry data experience, including vehicle, dealership, CRM, inventory, consumer, telematics, finance, aftermarket, or mobility datasets.
  • Experience with dbt and modern analytics engineering workflows.
  • Experience with streaming technologies and event-driven architectures.
  • Experience supporting Business Intelligence, Data Science, and AI initiatives.
  • Familiarity with machine learning data pipelines and feature engineering concepts.
  • Experience working in a remote-first environment.

COMPENSATION
Compensation commensurate on experience. Participation in company benefit offerings include medical, dental, vision, unlimited paid leave, 401(k) matching, wellness, and more. The expected base salary range for this position is $150,000-$180,000 annually. The final compensation package will be based on experience, qualifications, and skills.
NEXT STEPS
If you meet the requirements, and are interested in applying for this role, please complete the online application, be sure to include a current resume and contact information. Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No relocation assistance provided for this position. NO PHONE CALLS PLEASE.
About Team Velocity
Team Velocity is a full-service marketing agency serving the automotive industry, providing integrated marketing solutions to OEMs and dealerships nationwide. We leverage our proprietary Apollo® technology platform to predict consumer behavior, personalize marketing campaigns, and help dealerships drive more sales and service revenue.
Our team members are driven, creative, and collaborative, enjoying a unique culture where innovation and client success are paramount.
Join us in revolutionizing automotive marketing and technology through powerful, data-driven insights, continuous improvement, and an unwavering commitment to reliability.