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#musictech

7 posts6 participants0 posts today

#AcademicJob

AI & Audio Scientist

📍 Universal Music Group (London or remote in EMEA)

Join UMG’s Music and Audio Machine Learning Lab (MAML) to develop cutting-edge AI/ML tools for music. Ideal for those with experience in MIR, generative models, multimodal learning, or music LLMs.

umusic.wd5.myworkdayjobs.com/U

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umusic.wd5.myworkdayjobs.comAI & Audio ScientistMusic is Universal It’s the passionate and dedicated team at Universal Music who help make us the world’s leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does. Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation. We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email UniversalMusicCareers@umusic.com. The A Side: A Day in The Life This role sits within the Music and Audio Machine Learning Lab (MAML) at UMG. Part of the Global Technology organization, the MAML’s mission is to invent and build state of the art AI/ML tools to support and empower Artists, and industry professionals. The MAML covers the full research & development lifecycle, from explorative research to prototypes to industrial scale products. It typically undertakes projects with applications such as, but not limited to, content understanding, creative tools, search, recommendation, etc. We are curious, passionate and committed to push the envelope in AI for music. If you are excited at the idea of working on state-of-the-art music & audio machine learning at industry scale and make an impact, we want to hear from you! The B Side: Skills & Experience Be Technical Design and build state-of-the-art AI/ML algorithms to tackle a variety of tasks in music/audio Explore frontier research in AI/ML for Music/Audio, and related opportunities for UMG Be Collaborative Collaborate with the team and stakeholders to deploy models to production Communicate results and findings to audiences of all levels of expertise Be part of an innovative and dynamic team Person Specification Strong background in AI / Machine Learning / Digital Signal Processing /Computer Science or related technical field 3+ years of hands-on professional and/or research experience in AI/ML or related technical fields applied to audio/music Experience in at least one of: Music Information Retrieval, generative models, multi-modal deep learning, representation learning, music LLMs Up to date knowledge of AI/ML state of the art, including scientific literature, tools, models, best practices etc Proven ability to come up with novel ideas and designs for AI/ML models, systems, pipelines and/or applications, and to implement them successfully Strong software engineering skills Proficiency in Python, ML frameworks (Pytorch, Tensorflow etc.) and usual scientific libraries (e.g. Numpy, Scipy, sklearn) Familiarity with Linux environments Ability to write good, well documented, and reusable code Good communication skills, both oral and written Curious, self-motivated, and proactive Passion for music and/or deep musical understanding Desirable Track record of publication(s) in relevant conferences or journals (e.g. ISMIR, ICASSP, Neurips, ICLR etc) Experience with generative models for audio/music Experience working in industry Experience going all the way from ideation / early research to production Familiarity/experience with cloud computing environments (e.g. AWS, Google Cloud Platform) Experience with distributed model training Experience with containerised software development (e.g. Docker) Bonus Tracks: Your Benefits Group Personal Pension Scheme (between 3% and 9%) Private Medical Insurance 25 paid days of annual leave Interest Free Season Ticket Loan Holiday Purchase scheme Dental and Travel Insurance options Cycle to Work Scheme Salary Sacrifice Cars Subsidised Gym Membership Employee Discounts (Reward Gateway) Just So You Know… The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement. Job Category: Technology We are Universal Music Group, the world’s leading music company. We are the home for music’s greatest artists, innovators and entrepreneurs.
#AI#MIR#MusicTech

Best #Linux distro for music?

I'll give it a go again and see what happens this time. Wasnt convinced 5+years ago it was worth it.

Currently downloading Ubuntu Studio (not expecting much) but what else is there that will run an audio interface, DAWs etc? Anything on Debian or Mint?

I like to use Krita, Inkscape and GIMP too from time to time.

Finally got around to editing some of those IRs I did late last week. Triggered with a 500 samples sine pulse (did a new one specifically for this as its cleaner than editing the old one). The IRs I'm getting back seem to be between 2000 to 4000 samples. 😕

How in the hell?

Will test in NADIR, but dont think they'll load into the Helix. Unless there is a quick fix.
#guitar #musictech #fx #recording #audio

#AcademicJob | #PhDStudentship

PhD Scholarship – The Townshend Studio

📍 University of West London

Full-fees PhD scholarship + stipend (£22,000 full-time / £11,000 part-time) for research on Pete Townshend’s electronic instrument collection. Open to UK & international students.

Deadline: 30/04/2025 (Intl) | 15/06/2025 (UK)

uwl.ac.uk/course/research/musi

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University of West LondonMusic | University of West LondonOur PhD in Music is supported by staff who are engaged in a range of specialisms that combine practice-led research and advanced professional practice with theoretical and technical analysis.

#CFP

17th International Symposium on Computer Music Multidisciplinary Research (CMMR 2025)

📍 UCL East, London, UK
📅 3–7 November 2025

Theme: "Sound, Music: Space, Place"—exploring sound, music & computing in cultural and spatial contexts. Tracks include papers, demos, music, installations, tutorials & workshops.

Deadline: 30/05/2025

imerc.blogspot.com/2025/03/fwd

imerc.blogspot.comFwd: 1st Call for Papers: CMMR 2025 “Sound, Music: Space, Place” (UCL East, London, UK) 1st Call for Papers: 17th International Symposium on Computer Music Multidisciplinary Research (CMMR 2025), Lon...