Apple

You will help create groundbreaking technology for large scale systems, spoken language, big data, and artificial intelligence.. The Siri team is looking for a machine learning engineer to develop and advance frictionless voice invocation experience on Apple’s innovative devices enabling compelling new conversational features for Siri interactions.. Key QualificationsStrong background in applied machine learning and deep learning; experience in speech, speaker, and/or language recognition a plusProficiency in deep learning / machine learning frameworks (e.g., PyTorch, TensorFlow) and scripting languages (e.g., Python, bash), with strong software engineering fundamentals and an interest in optimizing and scaling systems globallyStrong coding skills in Python, C/C. You will collaborate with researchers to develop advanced machine learning (ML) technologies and agile deployment processes which are easier to scale using the best automation practices.. Education & ExperiencePhD in a Machine Learning, Computer Science or related field, or M.S. with 3+ experiences in the area of Speech/Language Processing or Machine LearningAdditional RequirementsApple is an Equal Opportunity Employer that is committed to inclusion and diversity.

machine learning engineer

<p>SummaryPosted: Role Number:200543937Play a part in the next revolution in human-computer interaction. Contribute to the product that is redefining mobile computing through voice interaction. You will help create groundbreaking technology for large scale systems, spoken language, big data, and artificial intelligence. And work with the people who created the always-on always learning best in class intelligent voice assistant that helps millions of people get things done — just by saying “Hey Siri”. Join the Siri team at Apple!</p><p>The Siri team is looking for a machine learning engineer to develop and advance frictionless voice invocation experience on Apple’s innovative devices enabling compelling new conversational features for Siri interactions. You should be eager to do hands-on work to improve and build features to improve overall Siri capabilities. You should enjoy working in a constantly evolving environment with changing priorities, be passionate about using new technologies to solve real problems and to improve the state of intelligent assistants.Key QualificationsStrong background in applied machine learning and deep learning; experience in speech, speaker, and/or language recognition a plusProficiency in deep learning / machine learning frameworks (e.g., PyTorch, TensorFlow) and scripting languages (e.g., Python, bash), with strong software engineering fundamentals and an interest in optimizing and scaling systems globallyStrong coding skills in Python, C/C++; comfortable with frequent, incremental code testing and deploymentDemonstrated strength in handling technical uncertainty and collaborating with partner teams to solve complex machine learning modeling problemsDescriptionYou will be part of a team that is responsible for developing and integrating Siri’s speech and audio experience in a full range of Apple devices. Your focus will be to continuously improve the invocation experience of Siri voice assistant on all Apple devices across the globe. You will collaborate with researchers to develop advanced machine learning (ML) technologies and agile deployment processes which are easier to scale using the best automation practices. This position requires passion for improving the ML training and evaluation infrastructure for improved research efficiency, and faster modeling iterations. You will work with the speech, audio hardware and software engineering teams to deliver a great speech user experience. You must have a “make this happen” attitude and willingness to also work hands-on in building tools, testing, running experiments as well as work with state-of-the-art speech and audio processing algorithms. You should thrive in a fast paced environment and collaborate well with other engineering teams at Apple.Education & ExperiencePhD in a Machine Learning, Computer Science or related field, or M.S. with 3+ experiences in the area of Speech/Language Processing or Machine LearningAdditional RequirementsApple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.Pay & BenefitsAt 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 $138,900.00 and $256,500.00, 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.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.</p>

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