Apple
Machine Learning Engineer, Siri Attention & Invocation
Apple, Cupertino, California, United States, 95014
Machine Learning Engineer, Siri Attention & Invocation
Please read the following job description thoroughly to ensure you are the right fit for this role before applying. Cupertino, California, United States Machine Learning and AI Summary 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. The Siri Attention & Invocation team is looking for Machine Learning Engineers passionate about enabling personalized Siri interactions and delivering such technology to users on a global scale. Build end-to-end model training and evaluation pipelines. Push the envelope on the latest research developments in speaker recognition. Deploy machine-learned, on-device models that are aligned with the core values of Apple, ensuring the highest standards of quality, innovation, and respect for user privacy. Description You will be part of a team whose focus is on applied machine learning, on building and deploying models that constantly advance the state-of-the-art. We own our user journeys end-to-end, measuring the impact of our deployed models not just on pre-ship evaluation sets, but also post-ship on production traffic. You will collaborate with many dynamic, cross-functional teams consisting of software engineers and machine learning engineers/scientists. The ideal candidate will excel in both academic rigor and engineering efficacy, staying up-to-date with the latest research advancements as well as delivering reliable and robust models to all devices for all users around the world. Minimum Qualifications
5+ years of post-baccalaureate or equivalent experience with a strong background in machine learning and deep learning Experience in speech, speaker, and/or language recognition a plus, but not required Solid foundation in machine learning fundamentals, such as classification, feature engineering, clustering, semi-supervised learning, and domain adaptation Proficiency in deep learning / machine learning frameworks (e.g., PyTorch, TensorFlow) and scripting languages (e.g., Python, bash) Strong attention to detail, along with the analytical skills and the willingness to dive into data to explain anomalies and conduct error/deviation analyses Preferred Qualifications
Master’s or Ph.D. degree in electrical engineering, computer science, machine learning, language technology, or related fields Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $181,100 and $272,100, 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. 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. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.
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Please read the following job description thoroughly to ensure you are the right fit for this role before applying. Cupertino, California, United States Machine Learning and AI Summary 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. The Siri Attention & Invocation team is looking for Machine Learning Engineers passionate about enabling personalized Siri interactions and delivering such technology to users on a global scale. Build end-to-end model training and evaluation pipelines. Push the envelope on the latest research developments in speaker recognition. Deploy machine-learned, on-device models that are aligned with the core values of Apple, ensuring the highest standards of quality, innovation, and respect for user privacy. Description You will be part of a team whose focus is on applied machine learning, on building and deploying models that constantly advance the state-of-the-art. We own our user journeys end-to-end, measuring the impact of our deployed models not just on pre-ship evaluation sets, but also post-ship on production traffic. You will collaborate with many dynamic, cross-functional teams consisting of software engineers and machine learning engineers/scientists. The ideal candidate will excel in both academic rigor and engineering efficacy, staying up-to-date with the latest research advancements as well as delivering reliable and robust models to all devices for all users around the world. Minimum Qualifications
5+ years of post-baccalaureate or equivalent experience with a strong background in machine learning and deep learning Experience in speech, speaker, and/or language recognition a plus, but not required Solid foundation in machine learning fundamentals, such as classification, feature engineering, clustering, semi-supervised learning, and domain adaptation Proficiency in deep learning / machine learning frameworks (e.g., PyTorch, TensorFlow) and scripting languages (e.g., Python, bash) Strong attention to detail, along with the analytical skills and the willingness to dive into data to explain anomalies and conduct error/deviation analyses Preferred Qualifications
Master’s or Ph.D. degree in electrical engineering, computer science, machine learning, language technology, or related fields Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $181,100 and $272,100, 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. 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. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.
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