Apple AR/VR Job | AIML - Machine Learning Engineer, Data and ML Innovation

Job(岗位): AIML - Machine Learning Engineer, Data and ML Innovation

Citys(岗位城市): Seattle, Washington, United States

Date(发布日期): 2024-10-27

Summary(岗位介绍)

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have an opportunity to be part of an ML innovation organization within Apple that has its roots in the computer vision research community. MI is well positioned for strategic contributions in the short-term (on well-known Apple products) and in the long-term (on highly ambitious, high-risk, high-reward projects).

This role has a strong focus on shipping ML-based features and products.

You'll innovate in the entire end-to-end ML production pipeline. This includes but is not limited to crafting creative approaches to datasets, model training, and on-device inference optimizations. Our ideal team member is fearless when it comes to trying new things and is willing to iterate on ideas. We value team members who can quickly prototype, iterating all the way to high-quality implementations.

Qualifications(岗位要求)

Proficient in Python and deep learning frameworks like PyTorch

Experience with training ML models including deep learning based models

Able to define metrics, evaluate ML models, and perform error analysis

Familiar with recent advances in deep learning

Bachelor's, Master's, or PhD or equivalent experience in Computer Science or a related field

Description(岗位职责)

As a member of this team, you will use your background to:

Develop features and models to improve the capabilities of systems that use machine learning.

Scale up model training, build data pipelines, and tuning to improve system performance and user experience.

Review and implement pioneering machine learning algorithms.

Build software that improves rate of experimentation.

Work with a multi-disciplinary team to ship end-to-end features that use machine learning.

Additional Requirements(额外要求)

Proficient in Swift or similar statically typed language

Experience with modeling problems in the areas of object detection, facial recognition, multi-modal, and/or temporal machine learning

Experience with building efficient ML models through HW/SW co-design

Experience crafting and defining datasets and metrics for novel tasks

Experience with shipping ML features and products

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