1

Audio Machine Learning Jobs in Washington (NOW HIRING)

AI/ML Engineer

Reston, VA · On-site

$175K - $220K/yr

... images, audio, and documents. Our AI/ML Engineer is the core mission specialist who develops ... Design, implement, and optimize machine learning models for new mission-critical use cases and ...

Lead AI Engineer

Rockville, MD · On-site

$104K - $137K/yr

... audio, and video. * Build multimodal extraction using OCR, layout parsing, and vision-language ... Experience Requirements * 8+ years in software engineering or machine learning with production AI ...

Senior Data Scientist

Springfield, VA · On-site

$117 - $195/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Audio Processing * CI/CD * Bioinformatics * Data Engineering * Algorithm Development * Documentation * Cloud Computing * Data Mining * Database Design * Explainable AI * Machine Learning * Bayesian ...

Lead AI Engineer

Rockville, MD · On-site

$104K - $137K/yr

... audio, and video. * Build multimodal extraction using OCR, layout parsing, and vision-language ... Experience Requirements: * 8+ years in software engineering or machine learning with production AI ...

Lead AI Engineer

Rockville, MD · On-site

$104K - $137K/yr

... audio, and video. * Build multimodal extraction using OCR, layout parsing, and vision-language ... Experience Requirements: * 8+ years in software engineering or machine learning with production AI ...

Desktop Technician T5

Herndon, VA · On-site

$20.75 - $26.50/hr

... A/V equipment as required. • Work within Intune and SCCM to maintain endpoint management. • ... Intelligence, Machine Learning and other business domains). Founded in , the company is ...

Desktop Technician T5

Herndon, VA · On-site

$20.75 - $26.50/hr

... A/V equipment as required. • Work within Intune and SCCM to maintain endpoint management. • ... Intelligence, Machine Learning and other business domains). Founded in , the company is ...

Research Assistant

Washington, DC · On-site

$21 - $31/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... creating audio captcha technology. The candidate should be well-informed about the scientific ... in machine learning and data science; advanced degrees may offset experience requirements ...

Senior Software Engineer - C# / WPF

Arlington, VA · On-site

$141K - $186K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with video/audio programming, including FFmpeg or similar technologies, codecs and containers, frame-accurate playback, and hardware acceleration. * Experience integrating machine learning ...

Senior Software Engineer - C# / WPF

Arlington, VA · On-site

$140K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with video/audio programming, including FFmpeg or similar technologies, codecs and containers, frame-accurate playback, and hardware acceleration. * Experience integrating machine learning ...

Senior Software Engineer - C# / WPF

Arlington, VA

$140K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with video/audio programming, including FFmpeg or similar technologies, codecs and containers, frame-accurate playback, and hardware acceleration. * Experience integrating machine learning ...

Sr AI Engineer

Columbia, MD · On-site

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... machine learning with real-world hardware systems. This role focuses on developing intelligent ... Including hands-on experience with audio, electrical, accelerometers and control system signals

Showing results 41-60

Audio Machine Learning information

See Washington salary details

$33.4K

$95.7K

$194.2K

How much do audio machine learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for audio machine learning in Washington is $95,654.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $128,000.00 per year, depending on experience, location, and employer.

What is an audio machine learning?

An Audio Machine Learning job involves developing algorithms and models that analyze, process, and generate audio data. Responsibilities typically include working with speech recognition, music analysis, sound classification, and audio enhancement. Professionals in this field use deep learning, signal processing, and neural networks to improve audio-based applications like voice assistants, noise reduction systems, and music recommendation engines. They often work with datasets of speech, music, or environmental sounds to build models that understand and manipulate audio signals effectively.

What does an audio machine learning do?

Professionals in Audio Machine Learning typically spend their days designing, developing, and optimizing machine learning models tailored to audio data, such as speech or music recognition systems. You may also preprocess large datasets, extract and engineer relevant features, and collaborate closely with data scientists, audio engineers, and software developers to integrate your work into larger applications. Regular tasks often include running experiments, evaluating model performance, tuning hyperparameters, and keeping up with the latest advancements in the field. Team meetings, code reviews, and presenting findings to stakeholders are also common parts of the workweek.

What are the key skills and qualifications needed to thrive in audio machine learning?

To thrive in Audio Machine Learning, you need a strong background in machine learning, digital signal processing, and proficiency with programming languages such as Python or MATLAB, typically supported by a relevant degree in computer science, electrical engineering, or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with audio libraries (e.g., Librosa), and knowledge of cloud computing tools are highly valued, as are certifications in AI or data science. Strong problem-solving skills, creativity, and effective communication are essential soft skills for success in this field. These skills are crucial for developing innovative solutions, collaborating across multidisciplinary teams, and addressing complex audio data challenges in real-world projects.

What are the most commonly searched types of Audio Machine Learning jobs in Washington?

The most popular types of Audio Machine Learning jobs in Washington are:

What are popular job titles related to Audio Machine Learning jobs in Washington?

For Audio Machine Learning jobs in Washington, the most frequently searched job titles are:

What cities in Washington are hiring for Audio Machine Learning jobs?

Cities in Washington with the most Audio Machine Learning job openings:

Infographic showing various Audio Machine Learning job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 18% Part Time, 2% Temporary, and 5% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $95,654 per year, or $46 per hour.

Artificial Intelligence Subject Matter Expert (AI SME) with Security Clearance

IntelliGenesis

Annapolis Junction, MD • On-site

Other

Medical, Life, Retirement, PTO

Re-posted 27 days ago


Job description

*This role offers a hybrid work model, with both in-office and remote work.* Help Shape the Future of AI for National Security
At IntelliGenesis, we don't just teach AI - we develop it
 
Through our IG Labs innovation division, we research, prototype, and operationalize emerging artificial intelligence capabilities for some of the nation's most challenging mission environments. From agentic AI and large language models to cyber defense, autonomous systems, and mission-focused AI applications, our teams are helping government organizations accelerate the adoption of trusted AI.
 
We are seeking an experienced Artificial Intelligence Subject Matter Expert (AI SME) to serve as a bridge between cutting-edge AI innovation and workforce transformation. This individual will work closely with IG Labs researchers, AI engineers, mission experts, and instructional designers to ensure that emerging AI capabilities are translated into meaningful learning experiences, workforce development initiatives, and operationally relevant training programs.
 
This is an opportunity to influence not only how AI is developed, but how it is understood, adopted, and employed across the national security community.
 
What You'll Do
* Serve as the principal AI technical advisor supporting AI education, workforce development, and mission-focused training initiatives.
* Collaborate with IG Labs researchers and engineers to identify emerging AI technologies and translate them into workforce development opportunities.
* Help define the skills, competencies, and certification standards required for an AI-ready workforce.
* Guide the development of curriculum, labs, simulations, and practical exercises focused on real-world AI applications.
* Provide technical leadership across topics including:
 
* Generative AI
* Large Language Models (LLMs)
* Agentic AI
* Machine Learning
* Deep Learning
* Data Science
* AI Governance and Responsible AI
* MLOps and AI Operations
* Cybersecurity and AI
 
* Ensure training content remains aligned with current industry advancements, government AI strategies, and operational mission requirements.
* Develop mission-relevant use cases demonstrating how AI can be applied to solve real-world challenges.
* Support AI demonstrations, workshops, technical exchanges, and customer engagements.
* Evaluate emerging technologies and provide recommendations regarding future workforce development and training priorities.
* Contribute thought leadership supporting IntelliGenesis' AI strategy, innovation initiatives, and workforce transformation efforts.
 Required Qualifications:
* Must be a U.S. Citizen.
* Active TS/SCI clearance with polygraph.
* Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, or related technical discipline.
* 10+ years of technical experience in artificial intelligence, machine learning, data science, advanced analytics, and/or related discipline.
* Demonstrated experience applying AI technologies to operational, mission, research, or business challenges.
* Experience with large language models, retrieval augmented generation (RAG), agentic AI architectures, AI orchestration frameworks, or autonomous systems.
* Familiarity with Responsible AI, AI governance, and emerging federal AI policies.
* Strong understanding of modern AI methodologies, architectures, and workflows.
* Ability to communicate complex technical concepts to technical and non-technical audiences.
* Deep understanding of Python software development, including analysis of existing codebases and proficiency at writing Python tools.
* Understanding of software engineering principles and system designFamiliarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis).
* Ability to quickly learn and adapt to new technologies and domains.Desired Qualifications:
* Master's degree or PhD in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics or related discipline.
* Experience supporting Department of Defense, Intelligence Community, or Federal Government organizations.
* Experience developing technical training, certifications, workshops, or workforce development programs.
* Experience with containerization and virtualization architectures.
* Demonstrated ability to identify, analyze, and balance architecture drivers, tradeoffs, extensibility, and long-term maintainability.
* Published research, conference presentations, patents, or demonstrated contributions to AI innovation initiatives.
Why IntelliGenesis?
At IntelliGenesis, you'll have the opportunity to work alongside AI researchers, engineers, mission operators, and innovators who are actively developing next-generation AI capabilities through IG Labs, our dedicated research and innovation division.
 
You'll help bridge the gap between AI innovation and mission adoption by influencing how AI is developed, understood, and operationalized across the national security community.
 
Whether contributing to AI prototypes, exploring emerging technologies, supporting workforce transformation initiatives, or helping shape future AI certification programs, you'll play a direct role in preparing government organizations for an AI-enabled future.
 
Join us in building the technologies - and the workforce that will define the next generation of mission success! Compensation Range: $185,000 -  $215,000 _____________________________________________________________________________________________________ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate’s scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees’ total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. _____________________________________________________________________________________________________ IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training. IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company’s policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.