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Apple Grove Treatment Center

AIML - Machine Learning Engineer, Siri Conversation Intelligence

Apple Grove Treatment Center, Cupertino, California, United States, 95014


Apple

Published 01 Sep 2024Share this job

$143100-$264200 annuallyFull TimeShare this job

Role Highlights

C++PythonHTMLNLUCritical ThinkingLLMsResearchOptimizationNLPTools, Libraries and Frameworks

PyTorchTensorflowDescription

The Siri Conversation Intelligence (SCI) team is focused on advancing large-scale spoken language machine learning and large language models to enhance user interactions with Siri. The role involves developing state-of-the-art natural language understanding systems and collaborating with software engineers to integrate these models on devices. Success in this position requires conducting research in deep learning, optimizing model performance, and diagnosing errors to improve accuracy. The contributions made in this role will significantly impact the experience of millions of Siri users worldwide.Required Qualifications and Skills

The role requires a solid understanding of machine learning and deep learning, with a focus on natural language understanding. Candidates should possess 3-5 years of programming experience with standard machine learning tools and hands-on experience with large models. Familiarity with optimization techniques like quantization and distillation is advantageous. Additionally, effective problem-solving skills and the ability to communicate and collaborate across teams are necessary for success in this position.The company is at the forefront of integrating AI into user experiences, particularly through natural language processing and machine learning to innovate text input and interaction technologies on its platforms. They have developed and implemented advanced generative models for text generation, such as Transformer models, to provide features like auto-correction, sentence level correction, and inline completions. The representation of Apple as a leader in creating seamless input experiences through the exceptional integration of hardware and software, alongside a commitment to privacy, underlines their dedication to leveraging powerful on-device ML. This role offers a chance to contribute to a team that has a significant history and expertise in NLP and ML, impacting users globally across all Apple platforms.Share & Disclaimer

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