**Description**
Join Apple's Global Siri team as a Machine Learning Manager to deliver the best Siri experience around the world. In this role you will be responsible for all aspects of ML architecture, technology selection, model training, fine-tuning, ablation studies, and productization. You will drive applied research, leveraging emerging technologies to solve complex multi-lingual language understanding and scaling challenges. You will collaborate with world-class cross-functional teams to deliver the Siri product worldwide. Additionally, you will be encouraged to contribute to the broader research community by publishing in top-tier AI/ML journals. Specific responsibilities include:
- Working closely with the different Understanding, Experience, Platform and International teams, manage a team of Machine Learning Engineers to implement innovative language technologies and products that meet the business goals. - Lead the team responsible for creative SOTA ML technologies to deliver highly scalable and relevant Apple Intelligence experiences data and making data driven decisions to improve the Global Siri experience; also responsible for data annotation efforts and defining language specific representations, conventions and techniques. - Build ambitious engineering plans to achieve international excellence for Siri customers around the world. - Provide regular updates to organization groups as well as VP-level management.
**Minimum Qualifications**
- Strong leadership, management, planning and co-ordination skills with demonstrated ability to work collaboratively across an organization.
- Hands on experience leading engineering teams developing machine learning technologies and systems. Detailed understanding of building, evaluating and release management processes for ML systems.
- Experience developing/training/fine-tuning large language models (LLMs), large computer vision models, or generative AI models.
**Preferred Qualifications**
- Excellent strategic visioning, planning, prioritization, and organization skills.
- Track record of leading complex engineering projects.
- Ability to establish strong partnerships and manage complex cross-functional relationships.
- Experience developing robust scalable system for international language, also highly desirable.PhD or MSc in Language Technologies, Machine Learning, or a closely related field.
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