ML Engineer - Creativity Apps
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 state-of-the-art 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!
Ready to join us? As a Senior Software Engineer, you’ll 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!
In this machine learning engineering role, you will be responsible for evaluation, benchmarking and integration of various state of the art machine learning algorithms. You will collaborate with cross-functional teams to co-develop machine learning algorithms, drive success criteria and bring ideas to product. You should be comfortable driving projects independently and excel at delivering precise updates to cross-functional partners and stakeholders. We are seeking an engineer who can leverage their knowledge of classical computer vision and machine learning techniques to build and deploy deep learning models that help us design the next generation of productivity tools for creatives.
- Strong analytical and problem solving skills.
- Excellent written and verbal communication skills.
- Thriving in cross-functional collaborations.
- Demonstrated ability in developing machine learning algorithms for computer vision and image processing problems, demonstrated through either relevant industry experiences or publications in top-tier conferences (NeurIPS, CVPR, ICCV, ECCV, SIGGRAPH, etc).
- Strong programming experience (preferably in Python / Swift / Objective-C / C++).
- MS/PhD degree in CS/AI/ML/EE or equivalent experience.
- Fundamental understanding of camera systems, sensors and computational photography.
- Experience with bringing ML-driven algorithms from prototype to production.
- You possess development and debugging experience on embedded mobile platforms.
- Practical experience in developing algorithms for image or video processing.
- Experience with Core Image or similar GPU image processing technologies.