Apple | Hiring | ML Algorithms Engineering Manager – VE | Cupertino, CA | BigDataKB.com | 5 Oct 2022

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, etcโ€ฆ 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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