As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have an opportunity to be part of an ML innovation organization within Apple that has its roots in the computer vision research community.
MIND is well-positioned for strategic contributions in the short-term (on well-known Apple products) and in the long-term (on ambitious, high-risk, high-reward projects).
This role has a strong focus on shipping ML-based features and products.
Are you excited to 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.
DescriptionDevelop features and models to improve the capabilities of systems that use machine learningScale up model training, build data pipelines, and tuning to improve system performanceReview and implement pioneering machine learning algorithmsBuild software that improves rate of experimentationMinimum QualificationsProficient in Python and deep learning frameworks like PyTorchExperience with training ML models including deep learning based modelsAble to define metrics, evaluate ML models, and perform error analysisFamiliar with recent advances in deep learningBachelor's, Master's, or PhD or equivalent experience in Computer Science or a related fieldPreferred QualificationsExperience with modeling vision problems in the areas of object detection, facial recognition, and/or temporal machine learningExperience with building efficient ML models through HW/SW co-designExperience crafting and defining datasets and metrics for novel tasksExperience with shipping ML features and productsApple is an equal opportunity employer that is committed to inclusion and diversity.
We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
Learn more about your EEO rights as an applicant.
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