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Music Ai Audio Python Jobs in Washington (NOW HIRING)

Shield AI

Principal Engineer, Software (R5284)

Washington, DC · On-site

$152K - $205K/yr

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting ... Typescript, C++, Go, Python, Rust,etc.). * Strong knowledge of modern software engineering best ...

Assured Consulting Solutions

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 ... Strong software engineering skills in Python for model development, training, inference, and ...

Kastle Systems

Firmware Engineer

Falls Church, VA · On-site

C, C++, Python, Go, Rust, Shell scripting * Parallel processing: Multiprocessing, Multithreading, IPC * Media: Experience with video/audio encoding and streaming * AI Training & Inference: LLM, Deep ...

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 ...

New

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 ...

New

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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
Principal Engineer, Software (R5284)

Principal Engineer, Software (R5284)

Shield AI

Washington, DC • On-site

$152K - $205K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:

The Special Projects team at Shield AI is an elite force within the office of the CTO. It consists of a group of very senior (L5-L8) and highly experienced software engineering experts from diverse fields (aerospace, robotics, cloud infrastructure, game development, interactive media design, ...). The charter of this group is to steer technology development towards strategic alignment with the CTO's vision, through tactical insertion into teams and technologies across the organization. Individuals within this team make direct and at times forward-sprinting contributions to all three pillars of Hivemind, Shield AI's software ecosystem for developing and deploying resilient intelligent teaming for aircrafts. Hivemind consists of four products: EdgeOS (C++ based high-performance middleware for autonomy development), Pilot (autonomy for the edge built atop EdgeOS; a models-based, modular and open architecture C++ codebase), Forge (Shield AI's AI Factory for the design, development, and testing of Hivemind Edge systems; a service-oriented architecture leveraged through an SDK, CLI, and web portal; a Go, Python, Typescript codebase), Commander (Software and hardware to support rich human-in-the-loop and human-on-the-loop interactions with the Hivemind; a C++-based back-end for interaction with Pilot; and a web-application UI for mission planning, command and control by operators implemented in a Typescript/React codebase).

The Special Projects team is chartered to operate effectively within ambiguity. While this team does not own any software products, it tactically and strategically impacts the development of all foundational Hivemind products and leverages those technologies to rapidly deliver low-TRL solutions. This work happens should-to-shoulder with the product teams in some cases, and in a forward-sprinting manner within the Special Projects team in other cases. The result is direct contribution to products in the formercase, and development of reference implementations in the latter. The Special Projects team also functions as a pipeline for product and solution engineering teams across the organization. Individuals who enter the Special Projects team rapidly gain depth and breadth in their understanding of the Hivemind software ecosystem. This positions them well for leading technology development effort across the product and solution organization. 
What you'll do:
  • Design and prototype generative AI experience focused on accelerating autonomy development
  • Work closely with members of the Office of the CTO to crystallize the vision of the Hivemind product and its documentation
  • Lead the user experience design of Hivemind Generative AI
  • Work closely with the technical leads of Hivemind Commander (mission planning, command and control, air-ground communications) and Hivemind Design (configurations, test and evaluation, rehearsal, analysis) to enhance the user experience of their products
  • Conduct user research to understand user personae and their needs
  • Investigate competing products and their user experiences, synthesize findings to present to engineering and product leadership
Required qualifications:
  • 15+years experiencedeveloping large, production quality software systems. 
  • Excellent grasp of software development and coding principles withhighproductivity in a mainstream language(e.g. Typescript, C++, Go, Python, Rust,etc.). 
  • Strong knowledge of modern software engineering best practices; Experience with Git and code management tools; Good software hygiene regarding code documentation, unit testing, bug tracking. 
  • 5+ years of experience with React/Node/Typescript/Javascript development.
  • 5+ years of experience with Web applications development ("Front-End" or "Full-stack").
  • Deep understanding full-stack web development (Document-Object Model (DOM), browser APIs, standards, semantics, Websockets, HTTP Streaming and Server-Sent Events (SSE), Client and UI state management; best practises and strategies, as they apply to React-based rendering, Advanced SPA routing, URL-based state persistence,sharing mechanisms, Seamless content loading states and progressive rendering techniques.)
  • Multi-modal input handling (text, files, images, audio). Experience with client-side LLM Context Management
  • Fluid intelligence that allows one to operate effectively in sometimes ambiguous conditions, while finding opportunities to drive technical efforts and force multiply. 
  • Experience with Linux, Docker, and CI/CD environments. 
  • Hands-on experience with a major cloud platform (Azure, GCP, AWS). 
  • This role requires travel to a Shield AI location 1-3 times per quarter
Preferred qualifications:
  • Experience with geospatial data and WebGL. 
  • Experience with Playwright UI testing
  • Experience with Electron (or similar). 
  • Building debugging/inspection UIs for generative AI systems
  • Experience with user experience design video games
  • Experience designing for "Low Code" or "No Code" systems
  • Experience and/or comfort reading C++ and/or Python and/or Typescript
$220,000 - $330,000 a year
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Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
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.
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