Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple. This position involves a wide variety of skills, innovation, and is a rare opportunity to be working on groundbreaking, new applications of machine learning, research, and implementation. Ultimately, your work would have a huge impact on billions of users across the globe. You can help inspire change, by using your skills to influence globally recognized products' manufacturing.
The goal of Apple's Manufacturing and Operations team is to take a vision of a product and turn it into a reality. Through the use of statistics, the scientific process, and machine learning, the team recommends and implements solutions to the most challenging problems. We're looking for ML researchers to help us revolutionize how we manufacture Apple's amazing products. Put your skill & passion to work in this highly visible role.
Pursuing PhD in Computer Science / related field
Deep understanding of Machine Learning concepts, Probability and Statistics
Understanding of Computer Vision & VLMs, with demonstrated skill in training models and applying them to ML application development.
Ability to prototype research ideas as working code (Python)
Ability to meaningfully present results of analysis in a clear and impactful manner
Familiarity with applying Machine Learning, especially Computer Vision in a Manufacturing / Assembly setting
Familiarity with multimodal understanding & reasoning, knowledge-graphs & generative video models
Prior publications in relevant field
Source: Apple careers — Read the original posting and apply
This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.
Apple openings shown on Kaam Ki Khoj are read directly from the company's own careers site and link back to it. Apply there; Kaam Ki Khoj does not process applications for these roles and is not affiliated with Apple. Read More
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