Machine Learning Engineer, Camera Algorithm (2D/2.5D/Video)

Key Skills

AWS, Azure, C++, Framework, NeurIPS, NumPy, Python Programming

Job Description

The China Vision Lab (CVL) located in Beijing is responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. If you are the kind of people who are passionate on pursuing excellence, embracing challenges, enjoying work with others, learning new things along the way, Apple is the right place for you. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work.

Key Qualifications

• Rich experiences in 2D / 2.5D / Video computer vision algorithms covering one of the topics: Video Understanding / Video-based transformer / Video Segmentation.
• Solid understanding of state-of-the-arts in Video Understanding and familiar with the challenges of developing algorithms that run efficiently on resource constrained platforms.
• Proven prototyping skills and proficient in coding (C, C++, Python).
• Excellent written and verbal communications skills, be comfortable presenting research to large audiences, and have the ability to work hands-on in multi-functional teams.
• Candidates with publication record in relevant venues (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, SIGGRAPH) are preferred.
• Expertise in working with at least one deep learning framework, for example, PyTorch, TensorFlow.
• Team oriented, results-oriented, self-motivated and eager to learn new things.

Description

The computer vision algorithm engineer will work in a dynamic team as part of the Video Computer Vision org which develops on-device computer vision and machine perception technologies across Apple’s products. We balance research and product to deliver the highest quality, state-of-the-art experiences, innovating through the full stack, and partnering with cross-functional teams to influence what brings our vision to life and into customers hands.

Education & Experience

M.S. or PhD in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering), with a focus on computer vision and/or machine learning. Keywords: Video Understanding; Video-based transformer; Video Segmentation