Machine Learning Architect - Conversational Speech
Apple · Cupertino, CA · Machine Learning and AI
About this role
Apple is hiring a mid-level Machine Learning Engineer based in Cupertino, CA. The posting calls out experience with Python, TensorFlow, PyTorch, LLMs.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Location
- Cupertino, CA
- Department
- Machine Learning and AI
- Posted
- May 13, 2026
More roles at Apple
Job description
from Apple careersThe Speech organization within Siri drives major speech recognition, synthesis, and speech-to-speech model advances for features deeply embedded throughout Apple's ecosystem. Our mission is to build cutting-edge infrastructure, datasets, and models that empower Siri conversational AI, dictation, and speech-enabled Apple Intelligence features across natural language understanding, dialog generation, speech recognition, and multimodal interaction. We apply these technologies to create engaging, intelligent, and personalized conversational experiences for millions of Apple users.
We are seeking a Machine Learning Architect to serve as a senior technical leader spanning the full Speech organization. You will set the future modeling direction for all of conversational speech—charting the architectural and algorithmic course for how Apple's speech technologies evolve. You will operate as a hands-on expert who not only defines strategy but also digs into the hardest technical problems, working shoulder-to-shoulder with teams to overcome critical obstacles. Reporting directly to the Speech organization leadership, you will have broad visibility and influence across speech recognition, synthesis, dialog, multimodal foundation models, and speech-to-speech systems, ensuring coherent technical vision and cross-team alignment.