Apple, Inc.
AIML - Software Development Engineer, Machine Learning Platform & Infrastructure
Apple, Inc., Seattle, Washington, us, 98127
Summary
Posted: Aug 14, 2024
Weekly Hours:
40
Role Number:
200563380
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!
Description
This 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, an exciting ML front-tier! Possible example areas include model visualization, efficient inference, model compression, ML compilers, and/or federated learning.
Programming 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 Qualifications
Masters or PhDs in Computer Science or relevant disciplines;
Experience with full-stack web development (e.g. Django) and front-end JavaScript frameworks (e.g. Vue or other comparable frameworks such as React or Angular);
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.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $166,600 and $296,300, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
More
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.
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Posted: Aug 14, 2024
Weekly Hours:
40
Role Number:
200563380
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!
Description
This 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, an exciting ML front-tier! Possible example areas include model visualization, efficient inference, model compression, ML compilers, and/or federated learning.
Programming 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 Qualifications
Masters or PhDs in Computer Science or relevant disciplines;
Experience with full-stack web development (e.g. Django) and front-end JavaScript frameworks (e.g. Vue or other comparable frameworks such as React or Angular);
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.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $166,600 and $296,300, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
More
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