Requirements

• Strong theoretical background in modern deep learning architectures, sequence modeling, and generative AI frameworks (e.g., Transformers, Flow Matching, Diffusion, VAEs)
• Solid foundation in optimization, probability theory, linear algebra, and statistical machine learning
• Excellent programming skills in Python and PyTorch, with experience writing clean, scalable code for model training and inference
• Exposure to or strong interest in efficient model execution, quantization, and deployment constraints for edge/on-device computing

Nice to Haves

• Strong problem-solving abilities and high curiosity with a passion for exploring novel frontiers in speech and language modeling
• Master’s degree (MSc) or equivalent in Computer Science, Mathematics, Data Science, Physics, or related quantitative field
• Early career post-degree experience or practical research experience demonstrated through publication, open-source codebases, or high-impact projects

What You'll Be Doing

• Researching and developing techniques to enhance the steerability, expressiveness, and fine-grained control of Large Language Models and Generative Speech Decoders on Apple devices
• Collaborating with world-class product and research teams to integrate novel generative AI paradigms into on-device user experiences
• Contributing to products that redefine mobile computing and create groundbreaking technology for large-scale systems, speech synthesis, and generative AI