SummaryPosted: Jan 10, 2025Weekly Hours:40Role Number:200586139We are looking for applied scientists with a passion for using AI to transform in-the-wild sensor data from the most worn wearable device into intelligent health & fitness experiences. You will join a close-knit team of deeply technical researchers and engineers focused on delivering groundbreaking machine learning & AI technologies. As a member of this team, you will use your experience with machine learning and artificial intelligence to tackle important problems to deliver the next generation of Apple health & fitness experiences. You will play a key role in defining, designing, implementing, and evaluating new AI models and algorithms. In this role, you will collaborate with highly innovative product teams across Apple, and see projects through to deployment on 1 billion Apple devices worldwide.
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DescriptionInvestigating innovative machine learning and artificial intelligence techniques for health data challenges Designing and implementing machine learning pipelines Modeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, and visualization techniques Processing, cleaning, and verifying the integrity of data used for analysis Validating your findings using an experimental and iterative approach and effectively presenting back your findingsMinimum QualificationsExpertise in at least one area of machine learning and artificial intelligence (e.g., self-supervised learning, multi-modal ML, model optimization, NLP, LLM)Strong interest in applying machine learning to health & fitness related problems and dataAbility to distill vague product experiences into concrete problem definitionsExperience using a programming language (Python, C/C++ etc.) to manipulate data, draw insights from large data sets, and train machine learning models.3+ years of practical experience applying ML to solve real-world problems or relevant quantitative and qualitative research and analytics experienceMS or PhD in Computer Science, Machine Learning, AI, Statistics, Mathematics, or related quantitative fieldPreferred QualificationsA drive to learn and master new technologies and techniquesA passion for making methods robust and scalable5+ years of practical experience building ML & AI models to tackle real-world problemsExcellent verbal and written communication and presentation skillsProficiency training large scale models using modern machine learning packages (e.g. TensorFlow, PyTorch), and experience with data analysis stacks (such as NumPy, SciPy, pandas, Spark, etc.)Strong fundamentals in problem solving, algorithm design, and model buildingPassion for creating new technologies with high product impactPay & 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 $143,100 and $264,200, 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.MoreApple 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.
