In this role you will leverage your deep technical expertise to push beyond state-of-the-art methodologies. You will be responsible for guiding the full lifecycle of applied researchfrom concept to productionby applying novel AI/ML techniques to unique challenges in the health space. You will partner closely with product design and other research and engineering teams to translate cutting-edge research into the next generation of Apple health products all while upholding the privacy standards for which Apple is known. As a leader you will be responsible for hiring growing and mentoring a world-class engineering organization fostering a culture of continuous improvement and cultivating collaboration with peers across AIML and Apple.
- 10 years of experience in a technical leadership role with a demonstrated history of shipping complex AIML products.
- 10 years of experience in a managerial role with a proven ability to recruit top talent and scale engineering organizations.
- Experience with systems engineering; in-depth understanding of interdependencies of ML and SW components.
- Demonstrated ability to form senior partnerships and influence technical direction across a large cross-functional organization.
- Strong intuition for turning ambiguous research questions into concrete technical roadmaps and product opportunities.
- Expertise in generative AI technology and large language models (LLMs) is highly desirable.
- Experience in the health technology space is highly desirable.
- MS/PhD in Machine Learning Computer Science or equivalent experience in a related field.
- Management Style: You know how to recruit hire and grow people who are not only great technically but also demonstrate success in the highly collaborative functional environment of innovation at Apple. Your teams are proactive and drive a vision working in service of something larger. As a leader you give clear feedback that balances opportunities for growth with a vision to encourage. You are humble and lead by example have compassion for your colleagues and the challenges they face but can drive a controversial direction when needed.
- Extensive experience delivering large-scale product or platform outcomes leveraging cross-functional partnerships
- Proven record of gaining technical expertise on the job; demonstrates the ability to learn new technologies independently.
- Excellent understanding of an ML-based product lifecycle.
- Demonstrated depth of knowledge and application of statistics-based evaluation methodologies or user success metrics.
- Expertise in generative AI technology large language models (LLMs)
- Experience with systems engineering; in-depth understanding of interdependencies of ML and SW components.
- Proven innovation record
- Experience providing technical guidance to an engineering organization
- Ability to develop a long-term vision and execute strategies at scale while maintaining a grasp of technical details for better decision-making
- Experience in establishing and maintaining technical cross-functional partnerships across multiple organizations
- Experience with technical presentations for multiple audiences including executives
Required Experience:
Director
In this role you will leverage your deep technical expertise to push beyond state-of-the-art methodologies. You will be responsible for guiding the full lifecycle of applied researchfrom concept to productionby applying novel AI/ML techniques to unique challenges in the health space. You will partne...
In this role you will leverage your deep technical expertise to push beyond state-of-the-art methodologies. You will be responsible for guiding the full lifecycle of applied researchfrom concept to productionby applying novel AI/ML techniques to unique challenges in the health space. You will partner closely with product design and other research and engineering teams to translate cutting-edge research into the next generation of Apple health products all while upholding the privacy standards for which Apple is known. As a leader you will be responsible for hiring growing and mentoring a world-class engineering organization fostering a culture of continuous improvement and cultivating collaboration with peers across AIML and Apple.
- 10 years of experience in a technical leadership role with a demonstrated history of shipping complex AIML products.
- 10 years of experience in a managerial role with a proven ability to recruit top talent and scale engineering organizations.
- Experience with systems engineering; in-depth understanding of interdependencies of ML and SW components.
- Demonstrated ability to form senior partnerships and influence technical direction across a large cross-functional organization.
- Strong intuition for turning ambiguous research questions into concrete technical roadmaps and product opportunities.
- Expertise in generative AI technology and large language models (LLMs) is highly desirable.
- Experience in the health technology space is highly desirable.
- MS/PhD in Machine Learning Computer Science or equivalent experience in a related field.
- Management Style: You know how to recruit hire and grow people who are not only great technically but also demonstrate success in the highly collaborative functional environment of innovation at Apple. Your teams are proactive and drive a vision working in service of something larger. As a leader you give clear feedback that balances opportunities for growth with a vision to encourage. You are humble and lead by example have compassion for your colleagues and the challenges they face but can drive a controversial direction when needed.
- Extensive experience delivering large-scale product or platform outcomes leveraging cross-functional partnerships
- Proven record of gaining technical expertise on the job; demonstrates the ability to learn new technologies independently.
- Excellent understanding of an ML-based product lifecycle.
- Demonstrated depth of knowledge and application of statistics-based evaluation methodologies or user success metrics.
- Expertise in generative AI technology large language models (LLMs)
- Experience with systems engineering; in-depth understanding of interdependencies of ML and SW components.
- Proven innovation record
- Experience providing technical guidance to an engineering organization
- Ability to develop a long-term vision and execute strategies at scale while maintaining a grasp of technical details for better decision-making
- Experience in establishing and maintaining technical cross-functional partnerships across multiple organizations
- Experience with technical presentations for multiple audiences including executives
Required Experience:
Director
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