Machine Learning Engineer

  • Cupertino, CA
  • Posted 36 days ago | Updated 2 hours ago

Overview

On Site
USD 143,100.00 per year
Full Time

Skills

Video Engineering
Generative Artificial Intelligence (AI)
Microsoft Excel
Algorithms
Data Collection
Training
Testing
Machine Learning (ML)
Deep Learning
Video

Job Details

Summary
Imagine the impact you can make. A billion users will use the technologies you helped craft almost daily. At Apple, you will have the opportunity to work on products that are always leaders in the industry and potentially change the world! The Video Engineering team at Apple is responsible for creating the image and video core technologies used in almost all Apple products and services. With the recent surge of Generative AI models, there is an exciting opportunity to benefit from the power of generative models in video processing applications.

We are looking for a highly self-motivated and enthusiastic individual with an advanced degree, who is able to excel in a technically challenging environment, to fill in the position of Machine Learning Engineer.

Description
We are looking for a Machine Learning Engineer who will join us to build Apple's next-generation video processing algorithms. In this role, you will identify and develop machine leaning models for solving specific video processing applications and work closely within a dynamic team to optimize and productize those features.

Your responsibilities include, but not limited to:
- Work on data collection and curation for training/testing/validation of machine learning models.
- Investigate the latest deep learning based low-level vision methods.
- Harness the power of generative and multi-modal foundation models in improving the quality of video features across Apple products.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.