AIML - Senior Machine Learning Engineer, Siri and Information Intelligence

SummaryPosted: Weekly Hours: 40 Role Number:200551095As part of Apple Intelligence, Siri team is at the forefront of the next revolution in machine learning. Our innovative product redefines computing by using powerful technologies in speech and audio domain. We are dedicated to creating groundbreaking conversational assistant technologies for both large-scale systems and new client devices, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide. We are seeking a highly skilled Senior Machine Learning Engineer specializing in speech and audio technologies to join our dynamic team. The ideal candidate will play a pivotal role in the evaluation and enhancement of our product's speech and audio capabilities. They will collaborate closely with multi-functional teams to implement and optimize speech and audio, ensuring the highest level of quality, performance, accuracy, and scalability. This role offers a great opportunity to contribute to the advancement of AI systems and shape the future of computing. As a Machine Learning Engineer within the Siri team, you will define new approaches for evaluating speech and audio to enhance product capabilities. You will collaborate with various language engineers, modeling teams, and product managers to conduct thorough evaluation and analysis of speech and audio. Your expertise in defining and measuring the quality and intelligibility of a speech signal will help communicate, evaluate, and iterate on innovative deployed models and predictors.DescriptionThis Siri team leads the development of advanced evaluation methodologies for ML based systems, model interpretability, and experimentation, to ensure that every release delivers an improved Siri user experience. The team is searching for versatile ML Engineers to work with a passionate, product-focused team to define innovative approaches for evaluating ML based systems, and model interpretability. You will run experiments, statistically interpret data with a mind on causation, data visualization, plus designing, building, and evaluating models.Minimum Qualifications7+ years of professional work experience applying machine learning to real-world problems with a focus on speech and audio technologies.Excellent programming skills in Python, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.In-depth knowledge of natural language processing//text-to-speech.Excellent problem solving, critical thinking, and data analysis skills. Strong attention to detail. Proven track record to dive into data to discover hidden patterns and conduct error/deviation analysisEffective communication skills and ability to collaborate effectively in a multi-functional team environment.Domain knowledge in applied statistics and experiment design are a big plus!Enthusiasm for continuing to learn innovative techniques in natural language processing/machine learning/speech.Key Qualifications6+ years as Software Development Engineer.4+ years of Designing and Architecting tools and frameworks.Experienced in Machine Learning.Excellent leadership in driving the development of tools and frameworks driven towards excellence in quality.Shown problem solving and debugging skills: analyze and investigate test failures, errors, and build issues, able to accurately drive issues to completion and support issues with data.Excellent verbal and written communications skills.Preferred QualificationsStrong background in A/B testing procedure, causal analysis, and cohort analysis.Exposure to model interpretability techniques and their real-world advantages/drawbacksGood Conversational AI domain knowledgeExperience working with end-to-end pipelines and/or crowd-sourced data labelingEducation & ExperienceM.S. or PhD in natural language processing/machine learning/speech or Computer Science related field or equivalent work experience.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 $175,800 and $312,200, 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. Learn more about your EEO rights as an applicant.