Apple AR/VR Job | Senior Machine Learning Engineer

Job(岗位): Senior Machine Learning Engineer

Citys(岗位城市): Santa Clara Valley (Cupertino), California, United States

Date(发布日期): 2022-10-7


The Video Computer Vision organization is working on exciting technologies for future Apple products. Our focus is on ML based solution around real time image and video. We have contributed to the FaceID and FaceKit project in the past and more recently the new LIDAR iPad and iPhone sensors. We are looking for the right engineer to help us take our efforts to the next level.

In this role, you will work together with similar minds in a unique development team where your skills and expertise will be put into the Apple products. This role is highly multi-functional and you will work very closely with various highly skilled machine learning and software development teams developing groundbreaking algorithms.


Extensive knowledge in machine learning and deep learning techniques. Experiences in training and evaluating neural networks.

Solid computer vision background and familiar with fundamental recognition tasks like classification, detection, segmentation, etc.

Strong coding skills in python. C++ is a plus.

Experience in visualizing data and results

Creativity and curiosity for solving highly complex problems

Excellent communication and collaboration skills


Are you passionate about building AI/ML products with focus on Augmented Reality (AR) and Virtual Reality (VR) applications? Are you passionate about solving hard problems? Video Computer Vision org at Apple is looking for a Machine Learning Engineer to help push the boundaries of 3D computer vision technologies. You will join a team of highly accomplished and deeply technical engineers and researchers. You will work with real-world data and a highly complex machine learning system. We provide the right balance between research and product to deliver Apple quality state-of-the-art experiences on various Apple devices.

Your key responsibilities in this role are:

Developing computer vision neural networks and algorithms including training, evaluation and failure analysis

Developing end-to-end pipeline and metrics for fast model evaluation and iterations.

Collaborating with multiple algorithm engineers to understand and analyze algorithm issues

Work cross functionally to deliver computer vision algorithms on device including labeling, QA, implementation teams