Machine Learning Engineer, Creativity Apps

Key Skills

Algorithms, Computational Photography, Computer Vision (CV), Data Analytics, Deep Learning, Large scale deployment, Machine learning techniques, Python Programming, SQL

Job Description

At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! Our 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 expertise in data analytics, machine learning and deep learning techniques.
• Experience in training and evaluating algorithms and features.
• Experience delivering high quality software at scale
• Committed to encouraging an open and inclusive work environment
• Ability to communicate effectively and collaborate.

Description

Are you ready to be an early member of a new engineering team? You’ll build state-of-the-art algorithms, partner with our multi-functional teams and deliver end-to-end features to power the next-generation tools for creators. The ideal candidate should have experience in machine learning, iOS development, cloud technologies, care about long term sustainable software development, and can drive features from concept all the way to delivery. This position also requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization.

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.