Machine Learning Engineer - Speech & Multimodal Language Modeling

The Special Projects team at Apple is developing novel user-facing features that leverage the multimodal capabilities of state-of-the-art foundation language models. We are looking for a highly skilled Machine Learning Engineer to build and evaluate these experiences, with a specific focus on Multimodal and Speech Language Models. A successful candidate is experienced in evaluating complex foundation model-driven systems end-to-end, translating subjective product requirements into objective criteria, has strong statistical analysis skills, and has worked with Speech Language Models. Minimum Qualifications Master’s degree in Computer Science or Machine Learning 2+ years of hands-on experience building and evaluating generative AI models Proficiency in Python and ML frameworks (Pytorch or Tensorflow) Preferred Qualifications PhD in Computer Science, Machine Learning, Statistics, or other STEM field 5+ years of hands-on experience with SpeechLMs or LLMs Experience with large-scale audio data processing on distributed systems Experience with prompt evaluation and optimization for generative AI models Proficiency in training, fine-tuning, and evaluation of foundation models and frameworks A track record of publications or technical presentations in Machine Learning journals or conferences Excellent communication skills and cross-functional collaboration