Machine Learning Manager, Creativity Apps

Key Skills

Deep Learning, Effective communication skills, Machine learning techniques, People management

Job Description

At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. The Creativity Apps team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight creative pros and enthusiasts alike. You’ll be working with the world-class teams behind Final Cut Pro, Logic Pro, iMovie, and GarageBand to create next-generation tools for creators. You’ll have the opportunity to work with world class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple can. This is a highly visible, highly impactful opportunity!

Key Qualifications

• Demonstrated experience of strong people management skills in hiring, coaching, and building a high-functioning team.
• Committed to encouraging an open and inclusive work environment
• Ability to communicate effectively, collaborate, and build long-term relationships across the organization.
• Proficiency in machine learning and deep learning techniques.
• Proficiency in building end-to-end ML pipelines from data ingestion to feature engineering to model training to deploying and scaling the model in production.
• Experience delivering high-quality software at scale.
• Willing to take responsibility and ownership of features.

Description

Are you ready to be one of the founding members of a new engineering team focused on building pioneering creative editing tools? You will take ownership around identifying the technical direction and innovation in key product areas. You will be responsible for identifying our technical investments to power the next-generation tools for creators. This is a highly collaborative role with the opportunity to evolve in many directions.

Education & Experience

PhD in computer vision, machine learning, computational photography or related areas; alternatively a comparable industry career, with significant experiences on delivering products using state-of-the-art computer vision and machine learning technologies.