Sr. Machine Learning Engineer, Siri Speech
Apple
Sr. Machine Learning Engineer, Siri Speech
Job Description
We are a group of engineers/researchers responsible for advancing Siri Conversational AI at Apple. Our mission is to build cutting-edge infrastructure, datasets, and models that empower Siri with powerful general capabilities across natural language understanding, dialog generation, speech recognition, and multi-modal interaction. We apply these technologies to create engaging, intelligent, and personalized conversational experiences for millions of Apple users! We believe that the most impactful breakthroughs in deep learning emerge when we address real-world problems at scale. Siri presents a unique and rich set of challenges—from robust understanding of diverse user intents to fluid, contextual, and trustworthy multi-turn dialog. Join us, and we will take on the challenges to push the frontiers of foundation models and conversational AI! On the Siri team, you will work alongside a fast-growing team of world-class engineers and scientists to tackle core problems in dialog systems and foundation models—ranging from natural language understanding and multi-turn context tracking, to the integration of speech, text, and other modalities. You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural, and useful. Your work will contribute to both academic research and real-world impact, improving the everyday experience of millions of users. As a researcher on our team, you’ll help us advance the state of the art in natural language processing, speech and audio modeling, and multi-modal learning, with a strong focus on bringing your innovations into production. Your ideas will directly impact the daily lives of billions of users through Siri.
Locations
- San Francisco Bay Area, California, United States
- Cambridge, Massachusetts, United States 02139
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- natural language understandingintermediate
- dialog generationintermediate
- speech recognitionintermediate
- multi-modal interactionintermediate
- deep learningintermediate
- natural language processingintermediate
- speech and audio modelingintermediate
- multi-modal learningintermediate
- foundation modelsintermediate
- conversational AIintermediate
- multi-turn context trackingintermediate
- dialog systemsintermediate
Required Qualifications
- Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning techniques to products (experience)
- Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow (experience)
- Masters Degree or PhD in Computer Science, or other technical field, or equivalent industry experience (experience)
Preferred Qualifications
- Experience with conversational AI (experience)
- Experience with multimodal LLM (experience)
- Experience with large scale machine learning training/evaluation (experience)
- Data-centric vision about foundation model (experience)
Responsibilities
- On the Siri team, you will work alongside a fast-growing team of world-class engineers and scientists to tackle core problems in dialog systems and foundation models—ranging from natural language understanding and multi-turn context tracking, to the integration of speech, text, and other modalities.
- You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural, and useful. Your work will contribute to both academic research and real-world impact, improving the everyday experience of millions of users.
- As a researcher on our team, you’ll help us advance the state of the art in natural language processing, speech and audio modeling, and multi-modal learning, with a strong focus on bringing your innovations into production. Your ideas will directly impact the daily lives of billions of users through Siri.
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Sr. Machine Learning Engineer, Siri Speech
Apple
Sr. Machine Learning Engineer, Siri Speech
Job Description
We are a group of engineers/researchers responsible for advancing Siri Conversational AI at Apple. Our mission is to build cutting-edge infrastructure, datasets, and models that empower Siri with powerful general capabilities across natural language understanding, dialog generation, speech recognition, and multi-modal interaction. We apply these technologies to create engaging, intelligent, and personalized conversational experiences for millions of Apple users! We believe that the most impactful breakthroughs in deep learning emerge when we address real-world problems at scale. Siri presents a unique and rich set of challenges—from robust understanding of diverse user intents to fluid, contextual, and trustworthy multi-turn dialog. Join us, and we will take on the challenges to push the frontiers of foundation models and conversational AI! On the Siri team, you will work alongside a fast-growing team of world-class engineers and scientists to tackle core problems in dialog systems and foundation models—ranging from natural language understanding and multi-turn context tracking, to the integration of speech, text, and other modalities. You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural, and useful. Your work will contribute to both academic research and real-world impact, improving the everyday experience of millions of users. As a researcher on our team, you’ll help us advance the state of the art in natural language processing, speech and audio modeling, and multi-modal learning, with a strong focus on bringing your innovations into production. Your ideas will directly impact the daily lives of billions of users through Siri.
Locations
- San Francisco Bay Area, California, United States
- Cambridge, Massachusetts, United States 02139
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- natural language understandingintermediate
- dialog generationintermediate
- speech recognitionintermediate
- multi-modal interactionintermediate
- deep learningintermediate
- natural language processingintermediate
- speech and audio modelingintermediate
- multi-modal learningintermediate
- foundation modelsintermediate
- conversational AIintermediate
- multi-turn context trackingintermediate
- dialog systemsintermediate
Required Qualifications
- Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning techniques to products (experience)
- Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow (experience)
- Masters Degree or PhD in Computer Science, or other technical field, or equivalent industry experience (experience)
Preferred Qualifications
- Experience with conversational AI (experience)
- Experience with multimodal LLM (experience)
- Experience with large scale machine learning training/evaluation (experience)
- Data-centric vision about foundation model (experience)
Responsibilities
- On the Siri team, you will work alongside a fast-growing team of world-class engineers and scientists to tackle core problems in dialog systems and foundation models—ranging from natural language understanding and multi-turn context tracking, to the integration of speech, text, and other modalities.
- You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural, and useful. Your work will contribute to both academic research and real-world impact, improving the everyday experience of millions of users.
- As a researcher on our team, you’ll help us advance the state of the art in natural language processing, speech and audio modeling, and multi-modal learning, with a strong focus on bringing your innovations into production. Your ideas will directly impact the daily lives of billions of users through Siri.
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