What are the responsibilities and job description for the Machine Learning Engineer - Speech & Multimodal Language Modeling position at Apple, Inc.?
Apple is where individual imaginations gather together, committing to the values that lead to\\ngreat work. Every new product we build, service we create, or experience we deliver is the\\nresult of us making each other's ideas stronger. The diversity of our people and their thinking\\ninspires the innovation that runs through everything we do. When we bring everybody in, we\\ncan do the best work of our lives. Here, you'll do more than join something - you'll add\\nsomething.
The Special Projects team at Apple is developing novel user-facing features that leverage the\nmultimodal capabilities of state-of-the-art foundation language models. We are looking for a\nhighly skilled Machine Learning Engineer to build and evaluate these experiences, with a\nspecific focus on Multimodal and Speech Language Models. A successful candidate is\nexperienced in evaluating complex foundation model-driven systems end-to-end, translating\nsubjective product requirements into objective criteria, has strong statistical analysis skills, and\nhas worked with Speech Language Models.
Master's degree in Computer Science or Machine Learning\n 2 years of hands-on experience building and evaluating generative AI models\n Proficiency in Python and ML frameworks (Pytorch or Tensorflow)
PhD in Computer Science, Machine Learning, Statistics, or other STEM field\n 5 years of hands-on experience with SpeechLMs or LLMs\n Experience with large-scale audio data processing on distributed systems\n Experience with prompt evaluation and optimization for generative AI models\n Proficiency in training, fine-tuning, and evaluation of foundation models and frameworks\n A track record of publications or technical presentations in Machine Learning journals or\nconferences\n Excellent communication skills and cross-functional collaboration
The Special Projects team at Apple is developing novel user-facing features that leverage the\nmultimodal capabilities of state-of-the-art foundation language models. We are looking for a\nhighly skilled Machine Learning Engineer to build and evaluate these experiences, with a\nspecific focus on Multimodal and Speech Language Models. A successful candidate is\nexperienced in evaluating complex foundation model-driven systems end-to-end, translating\nsubjective product requirements into objective criteria, has strong statistical analysis skills, and\nhas worked with Speech Language Models.
Master's degree in Computer Science or Machine Learning\n 2 years of hands-on experience building and evaluating generative AI models\n Proficiency in Python and ML frameworks (Pytorch or Tensorflow)
PhD in Computer Science, Machine Learning, Statistics, or other STEM field\n 5 years of hands-on experience with SpeechLMs or LLMs\n Experience with large-scale audio data processing on distributed systems\n Experience with prompt evaluation and optimization for generative AI models\n Proficiency in training, fine-tuning, and evaluation of foundation models and frameworks\n A track record of publications or technical presentations in Machine Learning journals or\nconferences\n Excellent communication skills and cross-functional collaboration