Job Overview:
As a Senior Speech Machine Learning Engineer on the Siri team at Apple, you will work with world-class engineers and researchers to advance conversational AI, focusing on natural language understanding, speech recognition, and multimodal interaction. Your role involves developing cutting-edge deep learning models and infrastructure to enhance Siri’s intelligence and user experience, requiring expertise in Python, deep learning frameworks, and a strong background in NLP or speech technologies. The position demands a blend of research and practical application, with opportunities to publish in top conferences while impacting billions of users globally.
>> View full job details on Apple’s official website.
Resume and Interview Tips:
When tailoring your resume for this role, emphasize your deep learning expertise, particularly in speech recognition and NLP, highlighting any publications in top-tier conferences like NeurIPS, ACL, or ICASSP. Showcase hands-on experience with Python and frameworks such as PyTorch or TensorFlow, and detail any work on conversational AI or multimodal models. If you’ve contributed to large-scale ML projects or foundation models, make this a focal point, as Apple values both research and real-world impact. Quantify achievements where possible, such as improvements in model accuracy or deployment scale, to stand out in a competitive applicant pool.
During the interview, expect technical questions on deep learning architectures, speech recognition, and NLP, as well as discussions about your research or product contributions. Be prepared to explain your approach to large-scale model training and multimodal integration, as these are key priorities for Siri. The interviewer will likely assess your problem-solving skills with real-world scenarios, so practice articulating your thought process clearly. Additionally, demonstrate your passion for conversational AI and your ability to bridge research with production—Apple values innovation that scales. Dress professionally but comfortably, as the focus will be on your technical expertise and collaborative mindset.