AIML - Machine Learning Engineer, Siri and Information Intelligence
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. You will be working closely with engineers and researchers from a number of other teams at Apple, you’re an effective communicator, a nimble learner motivated by a passion to deliver phenomenal products. Description You will be part of a cross-functional team that works between researchers and cloud technology teams building a highly scalable ASR focused ML platform. Your work will be used to reliably train thousands of models every week and deliver those models to millions of customers. You will use the latest open source technologies like PyTorch, HuggingFace, K8s as well as the latest Apple Silicon and Apple hardware to deliver the best experience for our customers. Minimum Qualifications Strong coding skills in Python, C/C++, or Java Knowledge of Machine Learning concepts and toolkits (PyTorch) Excellent understanding of algorithms, data structures, coding standards Self-motivated and pro-active, with critical thinking capabilities Preferred Qualifications Familiarity with large-scale data processing and distributed systems Expertise in developing systems for automatic speech recognition, natural language processing and machine learning 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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Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. You will be working closely with engineers and researchers from a number of other teams at Apple, you’re an effective communicator, a nimble learner motivated by a passion to deliver phenomenal products. Description You will be part of a cross-functional team that works between researchers and cloud technology teams building a highly scalable ASR focused ML platform. Your work will be used to reliably train thousands of models every week and deliver those models to millions of customers. You will use the latest open source technologies like PyTorch, HuggingFace, K8s as well as the latest Apple Silicon and Apple hardware to deliver the best experience for our customers. Minimum Qualifications Strong coding skills in Python, C/C++, or Java Knowledge of Machine Learning concepts and toolkits (PyTorch) Excellent understanding of algorithms, data structures, coding standards Self-motivated and pro-active, with critical thinking capabilities Preferred Qualifications Familiarity with large-scale data processing and distributed systems Expertise in developing systems for automatic speech recognition, natural language processing and machine learning 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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