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Audio Machine Learning Jobs in Washington (NOW HIRING)

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 ...

webAI

Senior Machine Learning Engineer

Washington, DC · On-site

$140 - $200/hr

About the Role We are seeking a Senior Machine Learning Engineer to support our Public Sector ... Work with multi-modal AI systems across computer vision, audio, and natural language domains.

Comcast

Machine Learning Engineer (GoLang)

Washington, DC · On-site

$142K - $213K/yr

... images, audio, and documents**--to generate rich, structured metadata. The platform unifies ... Machine Learning Platform team**. This role focuses on building **scalable backend systems** that ...

Bespoke Technologies, Inc

R&D Computer Engineer

Washington, DC · On-site

$126K - $148K/yr

This role offers a unique opportunity to gain hands-on research experience at the intersection of embedded systems, machine learning, and audio technologies. The successful engineer will contribute ...

Dev Technology

Audio AI Engineer

Reston, VA

$80K - $160K/yr

Audio AI Engineer, #1085 Multilingual Speech-to-Text Engineer - On-Device Model Optimization, #1085 ... Bachelor's degree in Computer Science, Data Science, Machine Learning, Computational Linguistics ...

Dev Technology Group Inc.

Audio AI Engineer

Reston, VA · On-site

$80K - $160K/yr

The strongest candidate can move fluidly from raw audio data, to model adaptation and compression ... Bachelor's degree in Computer Science, Data Science, Machine Learning, Computational Linguistics ...

Dev Technology Group

Audio AI Engineer

Washington, DC

$80K - $160K/yr

Audio AI Engineer, #1085 Multilingual Speech-to-Text Engineer -- On-Device Model Optimization ... Bachelor's degree in Computer Science, Data Science, Machine Learning, Computational Linguistics ...

Dev Technology

Audio AI Engineer

Reston, VA

$80K - $160K/yr

Audio AI Engineer, #1085 Multilingual Speech-to-Text Engineer -- On-Device Model Optimization ... Bachelor's degree in Computer Science, Data Science, Machine Learning, Computational Linguistics ...

Dev Technology

Audio AI Engineer

Reston, VA · On-site

$80K - $160K/yr

The strongest candidate can move fluidly from raw audio data, to model adaptation and compression ... Bachelor's degree in Computer Science, Data Science, Machine Learning, Computational Linguistics ...

NPR

Lead Data Scientist, AI Labs

Washington, DC · Hybrid

Design and architect automated machine learning pipelines to transform decades of unstructured audio, transcripts, and text to support automated semantic metadata generation. * Collaborate with the ...

Doist

Lead Data Scientist, AI Labs

Washington, DC · On-site

$164 - $201/hr

Design and architect automated machine learning pipelines to transform decades of unstructured audio, transcripts, and text to support automated semantic metadata generation. * Collaborate with the ...

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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 Aug 19, 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, 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.

Machine Learning Engineer

Kitware

Arlington, VA • Hybrid

$110K - $160K/yr

Full-time

Re-posted 11 days ago

Job description

Team Description:
Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI), spanning computer vision (CV), natural language processing (NLP), vision-language models (VLMs), and other generative AI technologies. Our solutions embracing AI add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We have developed a deep understanding in extracting useful, actionable information from multiple data sources like images, video, metadata, audio, and text, and we recognize the need for robust, affordable solutions. We seek to advance AI, CV, and other related fields through research and development and collaborative projects that can contribute to our open source software platforms, such as XAITK, NRTK, and GeoWATCH.

About the Projects: 
Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Much of Kitware’s work involves applying state-of-the-art artificial intelligence approaches to dynamic, real-world problems. We consider the work that we do on our government contracts as one of the ways that we give back to the community. We partner with premier government R&D agencies such as DARPA, IARPA, AFRL, Army C5ISR, NOAA, and other branches of the US Government on a range of efforts, including prime contracts, SBIRs, and STTRs. In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies. Kitware employs an open source business model to foster extended, collaborative communities and to provide effective, flexible, and high-quality technical solutions.
In This Position You Will:
  • Collaborate with researchers on projects related to machine learning, artificial intelligence, and computer vision 
  • Perform rapid prototyping and enhanced development to be integrated into operational systems
  • Contribute your strong programming ability and experience to develop robust solutions for real-world problems
  • Validate, optimize, and deploy advanced exploitation algorithms
  • Perform troubleshooting, bug fixes, and maintenance of existing and new code to ensure stability and robustness
Required Qualifications:
  • Bachelor's degree or Master's degree in Computer Science, Electrical and Computer Engineering, or related field
  • Proficiency in Python
  • Experience with deep learning libraries (PyTorch, TensorFlow, etc.)
  • Strong background in both classical and modern (deep learning) machine learning, including model selection, architecting, training, validation, testing, and deployment
  • Machine learning experience using visual data
  • Understanding of a variety of machine learning tasks, e.g. Object Detection, Segmentation, Re-Identification, Tracking, Pose, Super Resolution, Natural Language Processing
  • A high level of comfort with academic literature and the ability to adapt research products to solve real-world problems
  • Due to contractual requirements, only US Citizens will be considered for this position
  • If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance
  • Some travel is required, typically 5-25%
  • Willingness to work 2-5 days a week on-site in a National Capital Region area government office, with the remainder of time in Kitware's office
Preferred Qualifications:
  • Active SECRET, TS, or TS/SCI security clearance
  • Experience curating quality, real-world datasets for training deep learning models
  • Proficiency in C++
Company Description:
Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions, and many others.  

Kitware is proud to be 100% employee-owned, and Great Place to Work-Certified™.  

Additional Information:
Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a competitive compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and snacks. 

For more information on our benefit offerings please visit: https://www.kitware.com/careers/.

Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law. 

Any unsolicited resume sent to Kitware, including to Kitware's mailing addresses, fax machines or email addresses, whether directly to Kitware employees or to Kitware's applicant tracking system, will be considered Kitware property.  Kitware will not pay a fee for any placement resulting from the receipt of an unsolicited resume, and will consider any candidate submitted by a recruitment agency without a fully executed contract with Kitware to have been referred free of any charges or fees.

If you need assistance with applying or interviewing for a role due to a disability or special need, please reach out directly to our HR team at hr@kitware.com at any time during the hiring process.  

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.