Apple Inc.
AIML - Software Development Engineer, Machine Learning Platform & Infrastructure
Apple Inc., Seattle, Washington, us, 98127
AIML - Software Development Engineer, Machine Learning Platform & Infrastructure
At Apple, the AIML - On-Device Machine Learning group is responsible for accelerating the creation of amazing on-device ML experiences. Core ML is an example of an external facing product from this group. One important mission of the group centers around profiling, analyzing and optimizing ML inference performance across a remarkable variety of ML models, Apple devices and processors. These capabilities are already being used by several partner teams inside Apple (such as CPU, GPU, Neural Engine, speech understanding, Camera, Photos, VisionPro) as well as external App-Developers. If this role sounds exciting, we want to hear from you!DescriptionThis role provides a great opportunity to help scale and extend a significant ML benchmarking service used across Apple, in support of a range of devices from small wearables up to the largest Apple Silicon Macs. The role further offers a learning platform to dig into the latest research about on-device machine learning. Possible example areas include model visualization, efficient inference, model compression, ML compilers, and/or federated learning.Minimum QualificationsProgramming and software design skills (proficiency in Python and/or C/C++);An interest in software architecture, APIs, high performance extensible software and scalable software systems;Understanding about performance modeling and profiling of computer systems, and how to optimize code efficiency for a given platform;Solid ML fundamentals including data processing, training regimes and evaluation;A passion for edge/on-device ML;Excellent collaboration and communication skills.Preferred QualificationsMasters or PhDs in Computer Science or relevant disciplines;Back-end system skills including containers (docker), cloud orchestration (Kubernetes), database (SQL, Postgres);Experience in computer system power profiling;Experience developing code in one or more of training frameworks (such as PyTorch, TensorFlow or JAX); experience with Transformers, CNNs or Stable Diffusion; experience with on-device ML frameworks such as CoreML, TFLite or ExecuTorch;Apple 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.
#J-18808-Ljbffr
At Apple, the AIML - On-Device Machine Learning group is responsible for accelerating the creation of amazing on-device ML experiences. Core ML is an example of an external facing product from this group. One important mission of the group centers around profiling, analyzing and optimizing ML inference performance across a remarkable variety of ML models, Apple devices and processors. These capabilities are already being used by several partner teams inside Apple (such as CPU, GPU, Neural Engine, speech understanding, Camera, Photos, VisionPro) as well as external App-Developers. If this role sounds exciting, we want to hear from you!DescriptionThis role provides a great opportunity to help scale and extend a significant ML benchmarking service used across Apple, in support of a range of devices from small wearables up to the largest Apple Silicon Macs. The role further offers a learning platform to dig into the latest research about on-device machine learning. Possible example areas include model visualization, efficient inference, model compression, ML compilers, and/or federated learning.Minimum QualificationsProgramming and software design skills (proficiency in Python and/or C/C++);An interest in software architecture, APIs, high performance extensible software and scalable software systems;Understanding about performance modeling and profiling of computer systems, and how to optimize code efficiency for a given platform;Solid ML fundamentals including data processing, training regimes and evaluation;A passion for edge/on-device ML;Excellent collaboration and communication skills.Preferred QualificationsMasters or PhDs in Computer Science or relevant disciplines;Back-end system skills including containers (docker), cloud orchestration (Kubernetes), database (SQL, Postgres);Experience in computer system power profiling;Experience developing code in one or more of training frameworks (such as PyTorch, TensorFlow or JAX); experience with Transformers, CNNs or Stable Diffusion; experience with on-device ML frameworks such as CoreML, TFLite or ExecuTorch;Apple 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.
#J-18808-Ljbffr