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Freelance Audio Machine Learning Jobs in Silver Spring, MD

MORSE Corp

Machine Learning Engineer

Arlington, VA · On-site

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role ... audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

... images, video, metadata, audio, and text, and we recognize the need for robust, affordable ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

... images, video, metadata, audio, and text, and we recognize the need for robust, affordable ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

... images, video, metadata, audio, and text, and we recognize the need for robust, affordable ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

... images, video, metadata, audio, and text, and we recognize the need for robust, affordable ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

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

10a Labs

Engineering Fellowship

Washington, DC

$125/hr

... Machine Learning Engineering: * * Computer vision skills (OCR, image classification, deep fake detection) * Familiarity with multimodal learning (text-image or text-audio) or cross-domain model ...

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Freelance Audio Machine Learning information

See Silver Spring, MD salary details

$66.2K

$72.4K

$77K

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

As of Jun 5, 2026, the average yearly pay for freelance audio machine learning in Silver Spring, MD is $72,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $74,900.00 per year, depending on experience, location, and employer.

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

AspectFreelance Audio Machine LearningFreelance Audio Signal Processing
Required SkillsMachine learning, programming, audio analysisDigital signal processing, audio engineering, software tools
Work EnvironmentData analysis, model development, algorithm designAudio editing, filtering, signal enhancement
Common EmployersTech companies, startups, research labsAudio production houses, broadcasting, music industry
CertificationsMachine learning, data science, programming certificationsAudio engineering, DSP certifications

Freelance Audio Machine Learning focuses on developing algorithms and models to analyze and interpret audio data using machine learning techniques. In contrast, Freelance Audio Signal Processing involves applying traditional digital signal processing methods to enhance or modify audio signals. Both roles require technical expertise but differ in their core methods and applications.

What are popular job titles related to Freelance Audio Machine Learning jobs in Silver Spring, MD? For Freelance Audio Machine Learning jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Freelance Audio Machine Learning jobs in Silver Spring, MD look for? The top searched job categories for Freelance Audio Machine Learning jobs in Silver Spring, MD are:
Freelance Audio Machine Learning jobs near you
Machine Learning Engineer

Machine Learning Engineer

MORSE Corp

Arlington, VA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer vision (CV) and other types of data. You will be responsible for acquiring truth data, integrating algorithms, testing algorithms, combining algorithms, reviewing literature to stay on top of the latest-and-greatest methods, analyzing data from field tests, and developing advanced algorithms. MORSE's AI & ML work crosses modalities, and experience or interest in the fields of Large Language Models (LLM), audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE's current team of engineers to transition algorithms to production, which may run on on-prem servers, on the cloud, or on a real-time embedded system. You will be part of our team working to accelerate our US National Security customers abilities to use natural language processing capabilities in mission-critical environments. 

Responsibilities: 
  • Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object detection and tracking.  
  • Use MLOps tools for efficient experiment tracking, data management, and reproducibility 
  • Write robust, efficient, and maintainable code 
  • Track the latest advancements with machine learning research to bring new techniques and methodologies to MORSE 
  • Conduct experiments and perform rigorous evaluations to assess the effectiveness and efficiency of CV models 

Skills and Requirements: 
  • US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance 
  • Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or related field 
  • Proven experience in applying CV models, techniques, frameworks, and libraries to implement and fine-tune models 
  • Proven experience testing and validating the performance of AI technologies in real-world applications 
  • Proficiency in Python 
  • Experience with cloud platforms (AWS and Azure) 
  • Experience with Docker 
  • Experience with MLOps tools such as Airflow, MLFlow, AimStack, etc. 
  • Exceptional communication skills and the ability to work well with customers 
  • Understanding of Department of Defense requirements and standards is a plus 

Apply