Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Machine Learning Researcher - Apple Services Engineering - Generative Audio role.
Rezi rewrites your resume against Apple's job description. Free.
Tailor your resume to this Machine Learning Researcher - Apple Services Engineering - Generative Audio role.
Rezi rewrites your resume against Apple's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Machine Learning Researcher - Apple Services Engineering - Generative Audio posting at Apple — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Machine Learning Researcher - Apple Services Engineering - Generative Audio posting at Apple — free, in seconds.
About the Role
Join the Computational Music Technologies team to build the audio intelligence behind Apple's listening experiences. We are developing the next generation of generative audio technology, including foundational models for new music experiences.
Responsibilities
- Conduct research in generative audio using diffusion or flow-matching models.
- Focus on voice generation, vocal and speech synthesis, and related audio/signal processing.
- Research post-training and alignment techniques to improve output quality, controllability, and human preference adherence.
- Develop real-time generation architectures and distillation methods for low latency.
- Build foundational elements including evaluation methodology and benchmarking.
- Run experiments at scale on internal infrastructure.
- Collaborate with engineering, product, and design partners to translate research into products.
- Stay connected with the broader research community.
Requirements
- A PhD in computer science, statistics, applied mathematics or related field.
- Peer-reviewed publications at venues such as ICASSP, ISMIR, Interspeech, NeurIPS, ICLR, ICML or related.
- Expertise in generative modeling, machine learning, music information retrieval or speech and audio processing.
- Industry experience of coding in Python and PyTorch or JAX.
- Excellent communication and presentation skills.
Skills
- Generative modeling
- Machine learning
- Music information retrieval
- Speech and audio processing
- Python
- PyTorch
- JAX
- Audio generation and editing
- Post-training of diffusion models
- Voice synthesis
Location
- Apple Park
Work Type
- Full-time
Experience Level
- PhD
Education Level
- PhD
About the Company
- We shipped AutoMix, intelligent DJ-style transitions between tracks, and the Music Understanding Framework, our on-device audio feature extraction system.
- Our team sits close to partners in research and engineering across Apple, and we’re given the resources and access to large GPU clusters to enable us to pursue ambitious, foundational work.