Applied AI Scientist

Applied AI Scientist Apple - 4.1 Culver City, CA Job Details $171,600 - $302,200 a year 11 hours ago Benefits Employee stock purchase plan Health insurance Dental insurance RSU Retirement plan Qualifications Rapid prototyping TensorFlow Version control Doctoral degree in statistics Azure RNN Statistics Computer Science PyTorch Computer vision Software deployment Spark NumPy Amazon SageMaker Mathematics Google Cloud Platform Scalable systems 3 years Prompt engineering Doctoral degree in Computer Science Pandas Statistical analysis Analysis skills Spark implementation Ph.D. in statistics Doctor of Philosophy Model deployment Master of Science Statistical modeling CNN Supervised learning Prototype creation Implementing APIs Developing data pipelines Scalability Software testing Regression analysis Marketing analytics Clustering Distributed computing Unsupervised learning Senior level AI Cross-functional collaboration Machine learning frameworks Prototypes Communication skills MLOps Generative AI Cross-functional communication Hadoop Full Job Description We're idealists. Inventors. Forever tinkering with products and processes, always on the lookout for better. Whether you work at our global offices, offsite, or even at home, a job at Apple will be demanding. But it also rewards forward-thinking, creative thinking and hard work. And none of us here would have it any other way. Does an exciting, dynamic, and fast-paced environment catch your attention? Do you like puzzles and determining solutions that are not obvious? Terrific! Consider joining our team! The Applications team is looking for an outstanding Applied AI Scientist who will strengthen our team's capabilities in statistical modeling, machine learning, and foundational AI development. This role will drive innovation in building scalable ML and AI solutions that enhance our product intelligence, improve automation, and expand our AI-driven capabilities across business domains. Description The Applied AI Scientist will work on designing, developing, and implementing sophisticated machine learning and AI models to solve complex problems, particularly for creative applications like our video editing apps. The role involves building end-to-end ML pipelines, prototyping novel AI-powered features, developing AI tools, and collaborating closely with engineering, product, and marketing partners to bring intelligent solutions into production. The ideal candidate combines deep technical expertise in machine learning, statistical modeling, and AI framework development with strong problem-solving and interpersonal skills, ensuring effective collaboration and measurable impact in a fast-paced environment. Preferred Qualifications Experience with LLM fine-tuning, prompt engineering, or retrieval-augmented generation (RAG). Familiarity with generative AI techniques (e.g., diffusion models). Knowledge of computer vision (CV), multimodal models, and video generation/understanding, and their application in video or image analysis. Experience building scalable AI/ML systems using cloud platforms (AWS, GCP, Azure) and MLOps tools (e.g., SageMaker, Vertex AI, MLflow). Experience applying statistical and ML techniques to analyze user behavior, content usage, conduct feature analytics, and derive product insights. Hands-on experience with production model monitoring, including tracking data/model drift and running diagnostics. Proven ability to translate complex research ideas into scalable, production-level AI solutions. Strong software engineering practices, including version control, testing, and code review. Familiarity with cross-domain applications of AI/ML (e.g., marketing analytics, personalization, recommendation systems). Minimum Qualifications PhD in Computer Science, Statistics, Mathematics, or a related quantitative field with 3+ years of relevant experience; or MS with 5+ years of experience in applied AI, machine learning, or statistical modeling. 3+ years of programming proficiency with Python for data science and AI (e.g., Pandas, Scikit-learn, NumPy). 3+ years of hands-on experience applying statistical modeling and machine learning algorithms for supervised and unsupervised learning (classification, regression, clustering, etc.). 3+ years of experience working with large-scale data and distributed systems (e.g., Hadoop, Spark). Working familiarity with deep learning algorithms (CNN, RNN, Transformers) and frameworks (TensorFlow, PyTorch). Working familiarity with causal inference models and techniques. Hands-on experience deploying AI/ML models into a production environment. Experience with rapid prototyping, reproduction, and validation of research ideas. Experience developing or contributing to AI frameworks, APIs, or internal tools used by other teams. Excellent analytical, communication, and collaboration skills across multi-functional teams. 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. Learn more about your EEO rights as an applicant . Pay & Benefits At 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 $171,600 and $302,200, 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.

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Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.