{"schemaVersion":"jobsearcher.job.v1","id":"1cf20663cc98f5090694126a","url":"https://jobsearcher.com/jobs/1cf20663cc98f5090694126a","canonicalUrl":"https://jobsearcher.com/jobs/1cf20663cc98f5090694126a","title":"Machine Learning Engineer","description":"JOB TITLESenior Applied Machine Learning Engineer (audio / music generation)ABOUT THE ROLEWe’re building an AI-powered music system focused on commercial-ready audio generation. Our initial priority is getting the music generation quality right - structure, musicality, consistency, and production readiness.We are looking for a Senior Applied ML Engineer to own the end-to-end audio generation pipeline for our MVP. This role is hands-on and pragmatic: you’ll fine-tune open-source music models, integrate inference pipelines, and work closely with audio and backend engineers to deliver usable results quickly and efficiently. This role starts as a contract engagement (details below), with a path to full-time position for the right fit.ROLE DETAILTerms: Fixed-term (5 months) | Potential full-time conversionCompensation: $30,000 (Full 5 Month Term)Location: On-site (Monrovia, CA) with possibility of remoteWHAT YOU’LL WORK ONFine-tuning open-source music generation models.Implement conditioning controls (beats per minute, key, mood, section, density).Training and deploying parameter-efficient fine-tunes (LoRA / adapters).Building reference-conditioned generation.Support long-form generation via chunking and continuation.Integrating with Backend inference pipelines and APIs.Collaborating with audio DSP engineers to ensure outputs are production ready.REQUIRED QUALIFICATIONSStrong experience with Python and PyTorch.Hands-on experience with audio or speech generation models.Familiarity with diffusion or autoregressive generative models.Experience using or fine-tuning open-source ML models, familiar with HF Interfaces.Understanding of audio representations.Experience deploying ML models to production or API environments.NICE-TO-HAVE SKILLSFamiliarity with CLAP / audio embeddings or retrieval-assisted generation.Experience working with LoRA / PEFT methods.Basic understanding of audio production workflows (tempo, key, stems, loudness).Experience Optimizing inference cost and latency.ROLE GOALS & OBJECTIVESReliably generate musically coherent, commercial-friendly cues (30 ~ 120 seconds)The model responds correctly to conditioning inputs like tempo, key and moodOutputs are stable, repeatable and usable downstream by post-production toolsThe system is modular and ready to be integrated with downstream models.","company":"A24 Tech","rawCompany":"a24 tech","city":"Irvine","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-12T17:49:25.184Z","occupations":[{"code":"27-2042.00","title":"Musicians and Singers","slug":"musicians-and-singers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"512290","title":"Other Sound Recording Industries","slug":"other-sound-recording-industries"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"JOB TITLESenior Applied Machine Learning Engineer (audio / music generation)ABOUT THE ROLEWe’re building an AI-powered music system focused on commercial-ready audio generation. Our initial priority is getting the music generation quality right - structure, musicality, consistency, and production readiness.We are looking for a Senior Applied ML Engineer to own the end-to-end audio generation pipeline for our MVP. This role is hands-on and pragmatic: you’ll fine-tune open-source music models, integrate inference pipelines, and work closely with audio and backend engineers to deliver usable results quickly and efficiently. This role starts as a contract engagement (details below), with a path to full-time position for the right fit.ROLE DETAILTerms: Fixed-term (5 months) | Potential full-time conversionCompensation: $30,000 (Full 5 Month Term)Location: On-site (Monrovia, CA) with possibility of remoteWHAT YOU’LL WORK ONFine-tuning open-source music generation models.Implement conditioning controls (beats per minute, key, mood, section, density).Training and deploying parameter-efficient fine-tunes (LoRA / adapters).Building reference-conditioned generation.Support long-form generation via chunking and continuation.Integrating with Backend inference pipelines and APIs.Collaborating with audio DSP engineers to ensure outputs are production ready.REQUIRED QUALIFICATIONSStrong experience with Python and PyTorch.Hands-on experience with audio or speech generation models.Familiarity with diffusion or autoregressive generative models.Experience using or fine-tuning open-source ML models, familiar with HF Interfaces.Understanding of audio representations.Experience deploying ML models to production or API environments.NICE-TO-HAVE SKILLSFamiliarity with CLAP / audio embeddings or retrieval-assisted generation.Experience working with LoRA / PEFT methods.Basic understanding of audio production workflows (tempo, key, stems, loudness).Experience Optimizing inference cost and latency.ROLE GOALS & OBJECTIVESReliably generate musically coherent, commercial-friendly cues (30 ~ 120 seconds)The model responds correctly to conditioning inputs like tempo, key and moodOutputs are stable, repeatable and usable downstream by post-production toolsThe system is modular and ready to be integrated with downstream models.","datePosted":"2026-04-12T17:49:25.184Z","dateModified":"2026-04-12T17:49:25.184Z","hiringOrganization":{"@type":"Organization","name":"A24 Tech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Irvine","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1cf20663cc98f5090694126a"},"url":"https://jobsearcher.com/jobs/1cf20663cc98f5090694126a"}}