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Music Ai Audio Python Jobs in Georgia (NOW HIRING)

Dolby

Sr. Foundational Audio AI Researcher

Atlanta, GA · On-site

... Python and one or more popular deep learning frameworks (TensorFlow or PyTorch). • Ability to ... music synthesis, image segmentation, image captioning, question answering, language models, etc.

Sirius XM Radio

Staff Python Engineer

Atlanta, GA

Our critically acclaimed, industry-leading audio entertainment encompasses music, sports, comedy ... Brings in AI stewardship. What you'll do: * Lead the design and development of highly scalable and ...

Dolby

Senior Multimodal AI Researcher

Atlanta, GA · On-site

Our team invents next-generation technologies that power immersive audio-visual experiences ... Proficiency in Python and/or C/C++, with hands-on prototyping experience building and evaluating ML ...

Dolby

Senior AI Researcher

Atlanta, GA · On-site

Our team invents next-generation technologies that power immersive audio-visual experiences ... Proficiency in Python and/or C/C++, with hands-on prototyping experience * Excellent communication ...

Dolby

AI Architect

Atlanta, GA · On-site

... music, games, and live sports to more places around the world across a wider range of consumer ... Define and guide AI/ML technology strategy across Dolby's core technology areas (audio processing ...

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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 Georgia? For Music Ai Audio Python jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Music Ai Audio Python jobs in Georgia look for? The top searched job categories for Music Ai Audio Python jobs in Georgia are:
What cities in Georgia are hiring for Music Ai Audio Python jobs? Cities in Georgia with the most Music Ai Audio Python job openings:
Music Ai Audio Python jobs near you

PhD Research Intern - Multimodal AI, Audio (Fall 2026, Atlanta)

Dolby

Atlanta, GA • On-site

$53/hr

Full-time, Internship

Posted 11 days ago

Job description

Join the leader in entertainment innovation and help us design the future. The Advanced Technology Group (ATG) is the research division of the company. ATG's mission is to look ahead, deliver insights, and innovate technological solutions that will fuel Dolby's continued growth. As a valued member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones. We continuously push the boundaries of audio, imaging, and cloud technology to create spectacular entertainment experiences.
As a diverse and dynamic group, our ATG researchers work on cutting-edge projects related to computer science and electrical engineering for audio, video, and cloud technologies, exploring exciting domains such as AI/ML, algorithms, digital signal processing, audio processing, image processing, computer vision, AR/VR, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
What is the internship program?
The Dolby U internship program offers impactful, project-based work experience in a collaborative, creative environment where you work with industry leaders. It is a great way to get exposure to cool technologies, hone your skills, and build a pathway toward full-time opportunities with Dolby.
Dolby Laboratories is looking for a self-motivated, talented individual interested in applying their theoretical and practical expertise to the development of new technologies. The position is in the Multimodal Processing Team- within the Advanced Technology Group of Dolby Laboratories. It will involve working in close collaboration with other research scientists/engineers/AI researchers in multiple locations.
Responsibilities
As a member of the Machine Perception and Reasoning team, you will develop innovative AI algorithms designed to process audio and/or video data for applications in audio-visual quality evaluation, audio-visual content analysis, and multimodal representations. Your contributions will help the definition of new formats and evaluation pipelines for generative AI media.
At Dolby, everyone is invested in your success and strives to make it the best place for you to start your career. As part of your internship experience at Dolby, you'll get the following:
  • First-hand exposure to Dolby technology.

  • A diverse, open, and welcoming culture.

  • Practical experience: get to be a part of real-world projects.

  • Impact: your work will be used by millions of people every day.

  • The potential to publish and/or patent your innovations.

What are we looking for in candidates?
Along with your solid technical skills, candidates should demonstrate problem-solving and analytical abilities, good communication and collaboration skills, a curiosity for how and why things work as they do, and a passion for audio, video, movies, music, or game technology.
Areas of Focus
  • Multimodal machine learning and deep learning.

  • Multimodal generative AI.

  • Audio and/or Video quality evaluation.

  • Audio-visual content analysis and enhancement.

  • Multimodal representation learning.

Qualifications
  • Working towards a Ph.D. degree in Artificial Intelligence, Electrical Engineering, Computer Science, or related field.

  • Experience developing and training deep learning architectures.

  • Experience working with deep learning architecture for audio and/or video applications.

  • First-author publications at top-tier peer-reviewed AI conferences (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, InterSpeech, ICASSP, etc.).

  • Programming experience in Python, and experience working with frameworks like PyTorch or TensorFlow.

  • Ability to prototype quickly, with adept critical thinking skills.

  • Excellent communication skills and a team-oriented work ethic.

We will review applications on a rolling basis. For the best chance to have your resume reviewed and considered, we recommend submitting your application by June 26, 2026.
Eligibility
Working towards a Ph.D. degree in Computer Science, Electrical Engineering, or a related field; recent grads within six months of graduation are also eligible to apply. Must be available to work full-time, Monday to Friday, for 12 weeks between September 2026 - December 2026.
The start date for this internship is as follows (please note these dates are not flexible):
  • September 21, 2026

The Atlanta Area base hourly range for this internship position is $53/hr and can vary if outside of this location. Our hourly ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific hourly range and perks and benefits for your location during the hiring process.
Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12
Equal Employment Opportunity:
Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.

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