Sr. Machine Learning Engineer, Siri Speech

Are you excited about Generative AI and Large Language Models? Do you want to work on cutting-edge generative technologies that power intelligent, natural interactions for billions of users? Join the SWE Speech team at Apple!\\n\\nOur team develops state-of-the-art machine learning technologies for speech understanding, speech generation, and speech-to-speech interaction. We build scalable infrastructure, high-quality datasets, and advanced models that power Siri, Dictation, and speech-enabled Apple Intelligence features across natural language understanding, dialog generation, speech recognition, and multimodal interaction.\\n\\nWe are looking for an exceptional Senior Machine Learning Engineer with deep experience in designing and developing large-scale ML systems and multimodal LLMs, with a focus on conversational AI across language and audio. In this role, you will advance the latest ML techniques and translate them into production systems that shape the Siri experience for millions of users worldwide.

We are seeking a candidate with a strong background in applied ML research and development, particularly in multimodal LLM, natural language processing/generation, speech generation/understanding, to join our cross-functional team focused on advancing capabilities in systems like Siri. We are looking for applied ML researchers who can develop end-to-end solutions from data scaling to necessary model implementation and training while collaborating with other engineering teams to bring research to production. You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural, and useful. To succeed in this role, you should be a strong researcher and engineer, an excellent programmer, and a creative problem solver who enjoys learning new techniques, improving systems, and taking ownership of complex problems. You should also thrive as a team player in a fast-paced environment.

M.S. or PhD in Electrical Engineering, Computer Science or related fields\n5-7+ years experience in Machine Learning\nExperience in developing, training/tuning large generative models or LLMs\nExperience with machine learning frameworks such as JAX and/or PyTorch \nProficient programming skills in Python

Experience in reinforcement learning\nExperience with Speech LLMs or other Multimodal LLMs\nExperience with building & deploying AI agents and LLMs\nExperience with large scale machine learning training/evaluation\nData-centric vision and hands-on experience in developing and scaling foundation models