Computer Vision/Machine Learning Engineer (Video Understanding)
Apple
Computer Vision/Machine Learning Engineer (Video Understanding)
Job Description
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. The computer vision algorithm engineer will work in a dynamic team as part of the Video Engineering 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. Keywords: Object detection and segmentation; Multiple sensor fusion; Activity Recognition; Video Caption
Locations
- Beijing, Beijing, China 100045
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Object detection and segmentationintermediate
- Multiple sensor fusionintermediate
- Activity Recognitionintermediate
- Video Captionintermediate
Required Qualifications
- 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 (degree in phd in electrical engineering)
- Rich experiences in video machine learning covering one of the topics: Object detection and segmentation; Multiple sensor fusion; Activity Recognition; Video Caption (experience)
- Proven prototyping skills and proficient in coding (C, C++, Python) (experience)
- 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 (experience)
Preferred Qualifications
- Publication record in relevant venues (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, SIGGRAPH) (experience)
- Industry experiences with multi-modal foundation model and frameworks (experience)
- Knowledge and understanding of generative AI, multi-modal large language model, video caption (experience)
- 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 (experience)
- Team oriented, result oriented, and self motivated (experience)
Responsibilities
- The computer vision algorithm engineer will work in a dynamic team as part of the Video Engineering 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.
- Keywords: Object detection and segmentation; Multiple sensor fusion; Activity Recognition; Video Caption
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Computer Vision/Machine Learning Engineer (Video Understanding)
Apple
Computer Vision/Machine Learning Engineer (Video Understanding)
Job Description
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. The computer vision algorithm engineer will work in a dynamic team as part of the Video Engineering 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. Keywords: Object detection and segmentation; Multiple sensor fusion; Activity Recognition; Video Caption
Locations
- Beijing, Beijing, China 100045
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Object detection and segmentationintermediate
- Multiple sensor fusionintermediate
- Activity Recognitionintermediate
- Video Captionintermediate
Required Qualifications
- 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 (degree in phd in electrical engineering)
- Rich experiences in video machine learning covering one of the topics: Object detection and segmentation; Multiple sensor fusion; Activity Recognition; Video Caption (experience)
- Proven prototyping skills and proficient in coding (C, C++, Python) (experience)
- 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 (experience)
Preferred Qualifications
- Publication record in relevant venues (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, SIGGRAPH) (experience)
- Industry experiences with multi-modal foundation model and frameworks (experience)
- Knowledge and understanding of generative AI, multi-modal large language model, video caption (experience)
- 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 (experience)
- Team oriented, result oriented, and self motivated (experience)
Responsibilities
- The computer vision algorithm engineer will work in a dynamic team as part of the Video Engineering 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.
- Keywords: Object detection and segmentation; Multiple sensor fusion; Activity Recognition; Video Caption
Tags & Categories
Answer 10 quick questions to check your fit for Computer Vision/Machine Learning Engineer (Video Understanding) @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs