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

Renesas Electronics

Senior Staff AI Engineer

Columbia, MD · On-site

$101K - $139K/yr

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

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 · 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 ...

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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 Aug 8, 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 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?

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 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

$101K - $139K/yr

Full-time

Re-posted 12 days ago

Job description

Job Summary:
Renesas Electronics is an embedded semiconductor solution provider seeking a highly skilled Senior Staff AI Engineer to lead their Edge AI Applications Lab. The role involves managing R&D projects, developing edge AI applications, and collaborating with customers and internal teams to optimize AI models for microcontroller deployment.
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:
Required:
• 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.
Preferred:
• Background in digital signal processing (DSP) for audio and time-series data preferred.
Company:
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. Founded in 2002, the company is headquartered in Tokyo, JPN, with a team of 10001+ employees. The company is currently Late Stage.

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