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Music Ai Audio Python Jobs in Baltimore, MD (NOW HIRING)

Renesas Electronics

Senior Staff AI Engineer

Columbia, MD · On-site

$103K - $142K/yr

Including hands-on experience with audio, electrical, accelerometers and control system signals ... Proficiency in Python, MATLAB, and C, specifically including experience with real-time edge ...

Renesas Electronics

Senior Staff AI Engineer

Columbia, MD

$103K - $142K/yr

Including hands-on experience with audio, electrical, accelerometers and control system signals ... Proficiency in Python, MATLAB, and C, specifically including experience with real-time edge ...

Renesas Electronics

Senior Staff AI Engineer

Columbia, MD

$103K - $142K/yr

Including hands-on experience with audio, electrical, accelerometers and control system signals ... Proficiency in Python, MATLAB, and C, specifically including experience with real-time edge ...

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All JobsMusic Ai Audio Python JobsMusic Ai Audio Python Jobs in Baltimore, MD

Music Ai Audio Python information

See Baltimore, MD salary details

$22.9K

$139.1K

$201.2K

How much do music ai audio python jobs pay per year?

As of Sep 1, 2026, the average yearly pay for music ai audio python in Baltimore, MD is $139,081.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,800.00 and $163,500.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a Music AI Audio Python engineer?

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 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 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.

Can I make music with Music Ai Audio Python?

Music Ai Audio Python is a tool or framework used for creating music through artificial intelligence and Python programming. It allows users to generate, manipulate, or analyze audio and music data, often requiring knowledge of programming, machine learning, and digital audio processing. This makes it suitable for developers and musicians interested in AI-driven music production.

What are popular job titles related to Music Ai Audio Python jobs in Baltimore, MD?

For Music Ai Audio Python jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Music Ai Audio Python jobs in Baltimore, MD look for?

The top searched job categories for Music Ai Audio Python jobs in Baltimore, MD are:

Music Ai Audio Python jobs near you

Senior Staff AI Engineer

Renesas Electronics

Columbia, MD • On-site

$103K - $142K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 6 days ago

Job description

Company Description
Job Description
100% onsite - Columbia, MD
We are seeking a highly skilled and hands-on Senior Staff AI Engineer to head our Edge AI Applications Lab. The role includes leadership of R&D, PoC and AI product demo projects involving physical hardware builds associated with microcontroller deployment of tiny AI models. It includes management and scheduling of the associated physical lab space and equipment in support of these projects, as well as cross-BU and customer support efforts that may require physical lab implementations. The ideal candidate will bring significant skills in small scale PoC fabrication, coupled with understanding of a range of AI algorithms and their practical applications to real-world sensor data microcontroller. Individual should have demonstrated project and small-team people and technical leadership experience, and bring a creative, hands-on disposition.
Key Responsibilities:
  • Lead Edge AI Applications Lab, including management of project, people, facilities and scheduling.
  • Develop and maintain edge AI based applications, demos and solutions combining tiny ML models in a wide variety of physical hardware settings, including consumer devices, industrial machines and automotive.
  • Collaborate with customers and internal product teams to ingest, debug, and analyze their data for model development.
  • Work with other AI and embedded engineers to optimize and deploy AI models suitable for microcontrollers (MCUs) and embedded platforms.
  • Manage a variety of projects both technically and logistically in an industrial laboratory setting, including planning, part procurement, instrumentation, hardware setup and creating ML models.
  • Fabricate and assemble hardware setups (e.g., physical systems, sensor arrays, embedded boards) and collect data from real-world physical environments to support model development and validation.
  • Mentor junior engineers and contribute to technical leadership across teams.
  • Stay current with emerging technologies in AI, embedded ML, and signal processing.

Qualifications
  • Master's or PhD in Electrical Engineering or related technical field, and 7-12 years career experience..
  • Understanding of AI/ML algorithms with experience deploying models on MCUs
  • Practical fabrication of prototype systems that include physical, microelectronic, and sensor elements in novel combinations, including familiarity with design tools, 3D printing, and hands-on electrical and physical assembly.
  • Demonstrated experience leading engineering teams and collaborating effectively across multiple cross-functional groups
  • Broad familiarity with types of sensors and their placement and applications in practical systems. Including hands-on experience with audio, electrical, accelerometers and control system signals.
  • Experience working with large high-frequency sensor datasets (e.g., audio, electrical, motor control, accel, etc.), including debugging, preprocessing and ML Ops.
  • Proficiency in Python, MATLAB, and C, specifically including experience with real-time edge computing and embedded systems.
  • Background in digital signal processing (DSP) for audio and time-series data preferred.

Additional Information
The expected annual pay range for this position is $139,500 - $185,000. This position is also eligible for bonus opportunities and commission pay. Please note that the final offer amount will be dependent on geographic location, applicable experience, and skillset of the candidate.
Renesas offers a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, and pet insurance. In addition to elective benefit options, benefited employees receive company-paid life insurance and AD&D, LTD, short term medical benefits as well as paid sick time, paid holidays, and accrued paid vacation. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources
Renesas is an embedded semiconductor solution provider driven by its Purpose 'To Make Our Lives Easier.' As the industry's leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power.
With a diverse team of over 22,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, 'To Make Our Lives Easier.'
At Renesas, you can:
  • Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.
  • Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people's lives easier, safe and secure.
  • Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day.

Are you ready to own your success and make your mark?
Join Renesas. Shape Your Future with Us.
Renesas Electronics is an equal opportunity and affirmative action employer, committed to celebrating diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by federal, state or local law. For more information, please read our Diversity & Inclusion Statement.
Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.
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