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Music Ai Audio Python Jobs in Washington (NOW HIRING)

Bridge Core (BCore)

Full-Stack Software Engineer

Reston, VA · Hybrid

$165K - $195K/yr

Building and extending the offline, standalone application (Python/Flask) that ingests documents, images, audio, and video and runs locally hosted AI models to translate, summarize, extract entities ...

Bridge Core (BCore)

Full-Stack Software Engineer

Reston, VA · On-site

$165K - $195K/yr

Building and extending the offline, standalone application (Python/Flask) that ingests documents, images, audio, and video and runs locally hosted AI models to translate, summarize, extract entities ...

MBR Partners

Senior Software Engineer

Washington, DC · Remote

$150K/yr

... AI drive-thru deployments in the market. Their backend is developed in Python running in the cloud over k8s. It's not a typical backend interacting with a UI frontend, handling audio streams in real ...

Fantom Corporation

Jr Software Engineer

Hanover, MD · On-site

The ideal candidate has experience with C++ and Python development, modern web technologies ... We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine ...

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All JobsMusic Ai Audio Python JobsMusic Ai Audio Python Jobs in Washington

Music Ai Audio Python information

What are some common challenges faced by Music AI Audio Python developers when integrating AI models into digital audio workstations (DAWs)?

Music AI Audio Python developers often encounter challenges when integrating AI models into DAWs, such as ensuring low-latency audio processing and maintaining compatibility with various audio formats and plugin standards. Additionally, developers must optimize AI models for real-time performance while balancing computational efficiency. Collaboration with audio engineers and musicians is common, as their feedback helps refine features and improve usability. Staying updated with the latest advancements in both AI and audio technology is also crucial for success in this dynamic role.

What are the key skills and qualifications needed to thrive as a Music AI Audio Python Engineer, and why are they important?

To thrive as a Music AI Audio Python Engineer, you need a strong background in computer science, digital signal processing, and music theory, typically supported by a degree in a related field. Proficiency in Python, machine learning frameworks like TensorFlow or PyTorch, and audio libraries such as librosa is essential. Creative problem-solving, strong communication, and adaptability help you collaborate with interdisciplinary teams and innovate in music technology. These skills enable the development of advanced AI-driven music applications that meet both technical and artistic requirements.

What is the difference between Music Ai Audio Python vs Music Producer?

AspectMusic Ai Audio PythonMusic Producer
Required SkillsProgramming, AI, audio processingMusic theory, production, sound engineering
Work EnvironmentTech companies, studios, research labsRecording studios, production houses, live events
CertificationsPython, AI, audio engineering certificationsMusic production, sound engineering certifications
Industry UsageDeveloping AI tools for music creation and analysisCreating, mixing, and producing music tracks

Music Ai Audio Python focuses on developing AI-driven audio applications using Python, requiring programming and technical skills. In contrast, a Music Producer is involved in the creative and technical process of making music, emphasizing musical skills and industry experience. Both roles are essential in the music industry but serve different functions and skill sets.

What is a Music AI Audio Python developer?

A Music AI Audio Python developer is a software engineer or data scientist who specializes in creating tools, models, or applications that use artificial intelligence to analyze, generate, or manipulate music and audio data, primarily using the Python programming language. They work with machine learning libraries and audio processing frameworks to build applications such as music recommendation systems, audio classification tools, or AI-based music composition software. These professionals combine knowledge of music theory, digital signal processing, and AI to develop innovative solutions in the audio technology space.
What are popular job titles related to Music Ai Audio Python jobs in Washington? For Music Ai Audio Python jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Music Ai Audio Python jobs in Washington look for? The top searched job categories for Music Ai Audio Python jobs in Washington are:
What cities in Washington are hiring for Music Ai Audio Python jobs? Cities in Washington with the most Music Ai Audio Python job openings:
Music Ai Audio Python jobs near you
Full-Stack Software Engineer

Full-Stack Software Engineer

Bridge Core (BCore)

Reston, VA • Hybrid

$165K - $195K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Job description

Full-Stack Software Engineer
Reston, VA (Hybrid)
TS/SCI with Poly
 

At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions. 

Do you want to join a team that is building tailored technical solutions to modernize our government’s mission and our client’s business?  Do you have a desire to change how people work?  Are you interested in helping to protect our nation’s cyber interests? Join our growing team supporting customer missions as a Full-Stack Software Engineer in Reston, VA (Hybrid).


Responsibilities 

We are looking for a full-stack software engineer to build and extend an offline, edge AI data-triage application through a rapid prototype and its redeployment as mission needs evolve. The application runs entirely on a single, standalone device with no network connection. Technical tasks include: 

  • TS/SCI with polygraph
  • Building and extending the offline, standalone application (Python/Flask) that ingests documents, images, audio, and video and runs locally hosted AI models to translate, summarize, extract entities, and catalog content 
  • Developing the browser-based local user interface: ingest dashboard, tag filters, search, and a natural-language question interface 
  • Integrating and operating on-device AI/ML components, including local open-weight language models, retrieval-augmented generation, a vector store and embeddings, speech transcription, and multimodal vision models 
  • Building the controlled sandbox and data-security features: malware scanning and rule-based detection, file-type allow-listing, a quarantine landing zone, unprivileged containers with read-only mounts, and ephemeral teardown on shutdown 
  • Packaging the application for standalone, offline installation on a zero-trust Linux laptop baseline, including single-package and side-load delivery across enclave boundaries 
  • Maintaining a self-hosted CI/CD pipeline and cutting versioned releases that record model and behavior changes 
  • Validating near-real-time processing against edge data loads from 128 GB to 1 TB across text, image, audio, and video 
  • Supporting redeployment and iteration of the capability after the prototype as requirements change 

Required Qualifications:   

  • Front-end web development with JavaScript, HTML, and CSS for browser-based interfaces 
  • Strong Python, including backend web development (Flask or equivalent) 
  • Containerization with Docker and comfort working on Linux (Rocky Linux or the RHEL family) 
  • Experience integrating AI/ML or large language model components into applications 
  • Experience with data workflows using relational databases and/or vector stores 

Desired Qualifications:

  • Local or offline LLM tooling (e.g., Ollama) and retrieval-augmented generation (RAG) 
  • Vector databases (e.g., ChromaDB) and sentence embeddings (e.g., all-MiniLM) 
  • Speech-to-text (Whisper / faster-whisper) and multimodal vision models 
  • Text extraction (Apache Tika) and metadata standards (Dublin Core) 
  • Application security and sandboxing: ClamAV, YARA, unprivileged containers, encryption, role-based access control 
  • Self-hosted CI/CD and Git for source control 
  • Building for air-gapped, disconnected, or edge environments and standalone portable devices 

  • The expected salary range within the Washington, DC metropolitan area is: $165,000 - 195,000. Final compensation is unique to each individual and will be determined based on factors such as experience, education, geographic location, and contractual requirements. This is not a guarantee.
  • Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more.

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

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