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Audio Machine Learning Jobs in Washington (NOW HIRING)

Howard University

Research Assistant

Washington, DC · On-site

$21.75 - $30/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

$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 ...

Renesas Electronics

Sr AI Engineer

Columbia, MD · On-site

$103K - $142K/yr

... 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

Renesas Electronics

Sr AI Engineer

Columbia, MD · On-site

$103K - $142K/yr

... 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

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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 Jun 24, 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 are the key skills and qualifications needed to thrive in the Audio Machine Learning position, and why are they important?

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 typical daily responsibilities of someone working in Audio Machine Learning?

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 is an Audio Machine Learning job?

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 is the salary of audio AI engineer?

The salary of an audio AI engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Professionals with expertise in machine learning, signal processing, and programming languages like Python or TensorFlow tend to earn higher salaries.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, extensive experience, and may include stock options or bonuses, especially in large tech companies or startups. Compensation at this level reflects significant expertise and responsibility in developing and deploying AI systems.

Which 5 jobs will survive AI?

Audio Machine Learning professionals are likely to continue in roles that require creative interpretation, complex problem-solving, and domain expertise, such as audio engineers, sound designers, data scientists, AI specialists, and research scientists. These roles involve tasks that are difficult to fully automate, especially those requiring nuanced understanding of sound and human perception. Skills in programming, signal processing, and domain-specific knowledge will remain valuable in these jobs.

What engineers make $500,000?

Senior audio machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency in tools like Python and TensorFlow can reach salaries of $500,000 or more, especially in high-cost-of-living areas or at leading tech companies. Achieving this level often requires a strong track record, specialized knowledge in audio processing, and sometimes equity or bonuses as part of compensation packages.
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 June 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Temporary. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $95,654 per year, or $46 per hour.
ME00579-Data Scientist 3

ME00579-Data Scientist 3

Momentum Engineering, Inc.

Fort George G Meade, MD • On-site

$135K - $180K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 24 days ago

Job description

Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication-ensuring long-term stability and expertise for our customers' critical needs.
Job Summary
  • Seeking a Data Scientist to support a Natural Language Processing (NLP) project focused on developing automated solutions to process, analyze, and annotate language data derived from both spoken and written sources
  • This role involves building and improving models that tokenize language data, assign linguistic features such as parts of speech, and evaluate model performance against human-generated annotations to ensure accuracy and reliability

Primary Responsibilities
  • Develop and implement NLP models and algorithms to tokenize and process spoken and written language data
  • Design and build automated annotation solutions for labeling language data, including parts-of-speech tagging and related linguistic features
  • Evaluate and improve model performance by comparing outputs against human-generated annotations and refining algorithms accordingly
  • Analyze large volumes of structured and unstructured language data to identify patterns and improve model accuracy
  • Support development of training datasets and annotation frameworks to enhance model performance
  • Collaborate with cross-functional teams to align NLP solutions with mission and data requirements
  • Perform data preprocessing, cleansing, and transformation to prepare datasets for modeling
  • Document methodologies, model performance metrics, and findings to support repeatability and continuous improvement
  • Stay current with advancements in NLP, machine learning, and language modeling techniques

Required Qualifications
  • Must have active Top Secret/SCI clearance with Full Scope Polygraph (MD Customer)
  • Master's Degree with 6 years of relevant experience, Bachelor's Degree with 8 years of relevant experience, or Associate's Degree with 10 years of in-depth relevant experience that is clearly related to the position
  • Experience with Natural Language Processing (NLP) techniques and tools
  • Proficiency in Python and common NLP/data science libraries (e.g., NLTK, spaCy, scikit-learn)
  • Experience with text and speech data processing, including tokenization and annotation
  • Ability to evaluate model performance using quantitative metrics and comparison methods
  • Strong analytical and problem-solving skills

Desired Qualifications
  • Experience working with annotated language datasets and linguistic frameworks
  • Familiarity with machine learning or deep learning models for NLP
  • Experience with speech processing or audio data analysis
  • Knowledge of model evaluation techniques and performance benchmarking
  • Experience working in mission-driven or government environments

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate's experience and qualifications.
The pay range for this role is:
135,000 - 180,000 USD per year (Ft. Meade MD)

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