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Audio Machine Learning Jobs in Washington (NOW HIRING)

Amtex Systems Inc

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 ...

The Dignify Solutions, LLC

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 ...

The Dignify Solutions, LLC

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 ...

Howard University

Research Assistant

Washington, DC · On-site

$21 - $31/hr

... 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 ...

CaseGuard

Senior Software Engineer - C# / WPF

Arlington, VA · On-site

$140K - $185K/yr

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

CaseGuard

Senior Software Engineer - C# / WPF

Arlington, VA · On-site

$140K - $185K/yr

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

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Showing results 21-40

All JobsAudio Machine Learning JobsAudio Machine Learning Jobs in Washington

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 Sep 9, 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 job categories do people searching Audio Machine Learning jobs in Washington look for?

The top searched job categories for Audio Machine Learning jobs in Washington are:

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

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

Audio Machine Learning jobs near you
Infographic showing various Audio Machine Learning job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $95,654 per year, or $46 per hour.

AI/ML Instructor & Curriculum Developer

Annapolis, MD • On-site

IntelliGenesis LLC
IT Services • 51 - 200 employees
Learn more about IntelliGenesis LLCexternal

$170K - $210K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 20 days ago

Key responsibilities

  • Deliver instructor-led, virtual, and hybrid AI/ML training programs to technical and non-technical audiences.

  • Design and develop AI learning experiences, including labs, workshops, practical exercises, and certification programs.

  • Collaborate with AI practitioners and researchers to ensure course content reflects current technologies and emerging trends.

Job description

*This role offers a hybrid work model, with both in-office and remote work.*
Help Build the AI Workforce of the Future
Artificial Intelligence is transforming every aspect of national security, but technology alone is not enough. Success depends on developing a workforce capable of understanding, applying, governing, and operationalizing AI in mission environments.
IntelliGenesis is seeking an experienced AI/ML Instructor & Curriculum Developer to help design and deliver next-generation AI education programs supporting government and national security organizations.
This role combines technical expertise, instruction, curriculum development, and innovation. You will work alongside AI researchers, engineers, mission operators, and instructional designers to create learning experiences that prepare technical professionals, analysts, managers, and leaders to succeed in an AI-enabled future.
Unlike traditional training roles, you will have access to IntelliGenesis' advanced AI research environment, including our 8,000-square-foot IG Labs innovation facility, NVIDIA-powered computing infrastructure, and ongoing applied AI initiatives supporting real-world mission challenges.
What You'll Do
  • Deliver engaging instructor-led, virtual, and hybrid AI/ML training programs to technical and non-technical audiences.
  • Design and develop innovative AI learning experiences, including labs, workshops, practical exercises, simulations, and certification preparation programs.
  • Translate complex technical concepts into mission-relevant instruction that drives understanding and operational application.
  • Develop curriculum covering topics such as:
    • Generative AI
    • Large Language Models (LLMs)
    • Agentic AI
    • Machine Learning
    • Deep Learning
    • Data Science
    • MLOps
    • AI Governance and Responsible AI
    • AI Security and Risk Management
  • Create hands-on exercises using modern AI tools, frameworks, and datasets.
  • Collaborate with AI practitioners and researchers to ensure content reflects current technologies and emerging trends.
  • Evaluate training effectiveness and continuously improve course content and learner outcomes.
  • Support workforce development initiatives, certification programs, and AI transformation efforts across government organizations.
  • Participate in pilot programs, demonstrations, workshops, and strategic AI education initiatives.
Why IntelliGenesis?
At IntelliGenesis, you won't simply teach AI; you'll help shape how AI is understood and adopted across the national security community.
You'll have opportunities to:
  • Access our 8,000-square-foot IG Labs innovation facility.
  • Collaborate with AI researchers, engineers, and mission experts.
  • Work with advanced NVIDIA computing environments and AI development platforms.
  • Explore emerging technologies including Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and autonomous systems.
  • Influence AI certifications, workforce development pathways, and future training programs.
  • Contribute to real-world AI initiatives supporting government missions.
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, Education, or related discipline.
  • 6+ years of combined technical experience in AI/ML, data science, analytics, software engineering, technical instruction, or curriculum development.
  • Demonstrated ability to communicate complex technical concepts to diverse audiences.
  • Understanding of Python software development, including analysis of existing codebases and ability to write code.
  • Familiarity 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.
  • Experience developing or delivering technical education, workforce development, or training programs.
  • Working knowledge of modern AI and machine learning concepts, tools, and frameworks
  • Familiarity with a variety of AI subjects including Generative AI, Large Language Models, Agentic AI, MLOps, Responsible AI, and AI governance.
Desired Qualifications:
  • Master's degree or PhD in AI, Machine Learning, Computer Science, Data Science, Engineering, Mathematics, or related discipline.
  • Experience supporting Department of Defense, Intelligence Community, or Federal Government programs.
  • Experience with containerization and virtualization architectures.
  • Experience delivering instructor-led training, workshops, boot camps, or certification programs.
  • Experience developing hands-on labs, simulations, or project-based learning environments.
  • Industry certifications related to AI, cloud computing, data science, or technical instruction.

Join us in helping build the AI-ready workforce needed to support tomorrow's missions!
Compensation Range: $170,000 - $210,000
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.

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