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Job Location: Cupertino, CA
Summary
Posted: Aug 3, 2022
Role Number:200408930
Are you passionate about extraordinary engineering? Join us in this role, where you will help Apple build world-renowned Apple products. Imagine the impact you can make. The Video Engineering group at Apple is responsible for creating image/video core technologies used in almost all Apple products and services. We are looking for a highly self-motivated and experienced engineering manager, who is able to excel in a technically meaningful environment while collaborating with multi-functional teams across Apple!
Key Qualifications
- Expert knowledge of the principles, algorithms, and tools of deep learning, including models, training strategies, training dataset building, cost functions, quality metrics,
- Expert knowledge in video/ image processing, and low-level computer vision, such as spatial scaling, optical flow estimation, segmentation, frame rate up conversion, noise reduction & color processing
- Proven programming skills using common ML tools such as Python, PyTorch, CUDA Metal, and C/C++
- Leading, growing and developing engineering teams
- Partnering with cross-functional engineering teams and building strong relationships
- Strong organizational skills and experience working on large multi-functional teams
- Excellent problem solving, critical thinking, and communication skills
- 10+ years of professional software engineering experience with 5+ years of management experience
Description
In this highly collaborative role, you will lead a team of engineers in a fast-paced environment, developing ML-based video processing solutions for current and future Apple products. This position requires strong leadership skills, analytic skills, a passion for applying deep learning technologies in video processing and low level vision tasks. YOUR RESPONSIBILITIES INCLUDE, BUT ARE NOT LIMITED TO: 1. Working with your team as well other teams, on developing a DL-based solution for a video processing/low level vision problem, building training dataset, training the DL model, prototyping and demonstrating to leadership. 2. Working with multi-functional teams on implementing the solution on iOS/macOS platforms, including DL model simplification and retraining, model porting, code integration, performance acceleration, power tuning, quality tuning, etc… 3. Working with the SoC design team on accelerating the solution using hardware.
Education & Experience
MS/PhD in Electrical Engineering or Computer Science
Additional Requirements
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