Aiml - Machine Learning Engineer, Siri Conversation Intelligence

Apple Published 01 Sep 2024
Share this job $143100-$264200 annually
Full Time
Share this jobRole Highlights C++
Python
HTML
NLU
Critical Thinking
LLMs
Research
Optimization
NLP
Tools, Libraries and Frameworks PyTorch
Tensorflow
Description 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.
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