About the job
This position offers an opportunity to shape the voice landscape of Apple Intelligence features at this critical moment in the AI field. The ideal candidate will combine an intuitive understanding of cutting-edge machine learning capabilities with an eye for when a human touch is required to create something truly exceptional. Delivering products that adhere to responsible AI and safety standards is a key part of the team’s mission and you’ll help to drive and champion this critical work with cross-functional partners. As a manager, your team's success is your number one priority. You'll be responsible for cultivating a high-performing team that balances technical innovation with creative excellence. This means setting clear vision and strategy, removing obstacles that prevent your team from doing their best work, and fostering an environment where both rigorous engineering and artistic craftsmanship can thrive. You'll guide technical decisions while empowering your team to take ownership, and you'll be the bridge between your team's groundbreaking work and broader organizational goals.
Responsibilities
Cultivating a high-performing team that balances technical innovation with creative excellence
Setting clear vision and strategy
Removing obstacles that prevent your team from doing their best work
Fostering an environment where both rigorous engineering and artistic craftsmanship can thrive
Guiding technical decisions while empowering your team to take ownership
Being the bridge between your team's groundbreaking work and broader organizational goals
Qualifications
Minimum
2+ years experience leading a software or machine-learning team in the speech technology space
7+ years in a hands-on machine learning role with demonstrable product impact
Experience taking responsibility and ownership of features and the product roadmap
Excellent interpersonal skills and experience working with people from a wide variety of backgrounds (engineers, designers, researchers, etc.)
Committed to encouraging an open and inclusive work environment
Demonstrated ability to communicate effectively, collaborate, and build long-term relationships across the organization
Preferred
Bachelors degree in Computer Science, Artificial Intelligence/Machine Learning, Natural Language Processing, Software Engineering or equivalent
Experience working with voice talent recordings and/or other types of speech data
Experience building text-to-speech models
Fluent in another language or dialect