Senior ML Scientist — Speech & Dialogue AI

Apple Inc.

Cupertino (CA)

On-site

USD 185,000 - 325,000

Full time

14 days+
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Benefits offered by this job

Stock programs
RSU awards
Tuition reimbursement
Relocation assistance

Job summary

Apple Inc. is seeking a Sr. Machine Learning Scientist for Siri Speech in Cupertino. You will advance dialog systems, speech recognition, and multimodal models, with a strong emphasis on privacy and production deployment across Apple devices.

You will collaborate with world-class engineers and researchers to push the state of the art in NLP, speech, and multimodal AI, shaping experiences for iOS, macOS, watchOS, and visionOS. A PhD or equivalent research track is valued.

Qualifications

  • Demonstrated expertise in deep learning with publication record in relevant conferences or a track record in applying deep learning techniques to products
  • Proficient programming skills in Python and one of the deep learning toolkits such as PyTorch, JAX, or Tensorflow
  • Experience with conversational AI or multimodal LLM and large-scale ML training/evaluation

Responsibilities

  • You will work with engineers and scientists to tackle core dialog and foundation model problems and deploy novel DL technologies into production
  • Advance state-of-the-art in NLP, speech and audio modeling, and multimodal learning with a focus on Siri integration

Skills

Deep learning
Natural language processing
Multimodal learning
Publication record

Education

Bachelor's/Master's/PhD in Computer Science

Tools

Python
PyTorch
JAX
TensorFlow

Job description

Apple Inc. is seeking a Sr. Machine Learning Scientist for Siri Speech in Cupertino. You will advance dialog systems, speech recognition, and multimodal models, with a strong emphasis on privacy and production deployment across Apple devices.

You will collaborate with world-class engineers and researchers to push the state of the art in NLP, speech, and multimodal AI, shaping experiences for iOS, macOS, watchOS, and visionOS. A PhD or equivalent research track is valued.

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