Machine Learning Research Engineer, Siri Speech

Requirements

• Deep understanding of Machine Learning (ML) fundamentals.
• Advanced expertise in deep learning.
• Advanced background in speech technologies and related NLP fields.
• Proficiency in Python and deep learning frameworks such as JAX, PyTorch and TensorFlow.

Nice to Haves

• Deep technical expertise on Speech LLMs, ASR or TTS.
• A track record in software design, coding and parallel computing.
• Proven software development experience, preferably in a deep learning field.
• Experience with large scale machine learning training/evaluation.
• Experience in distributed privacy-preserving ML systems.

What You'll Be Doing

• Evaluate emerging Speech LLMs.
• Design and implement novel evaluation frameworks.
• Develop new tools to measure and enhance model performance.
• Analyze model behavior to identify opportunities for improvement.
• Build efficient automated processes and tooling.
• Collaborate with cross-functional teams in a dynamic environment.

Perks and Benefits

• Contribute to shaping the future of human-computer interaction.
• Work on breakthrough technologies in conversational AI, speech recognition, and natural language understanding and generation.
• Be part of the world-class team behind Siri.
• Elevate Siri experience to new levels of intelligence, fluency, and personalization.
• Empower users while upholding Apple’s commitment to privacy and innovation.