Applied AI Scientist

Apple • San Diego, CA

8h • Hybrid

About The Position

The Applications team is seeking an outstanding Applied AI Scientist to enhance capabilities in statistical modeling, machine learning, and foundational AI development. This role is crucial for driving innovation in building scalable ML and AI solutions that improve product intelligence, automation, and AI-driven capabilities across various business domains. The Applied AI Scientist will be responsible for designing, developing, and implementing sophisticated machine learning and AI models to address complex problems, particularly within creative applications like video editing apps. Key tasks include building end-to-end ML pipelines, prototyping novel AI-powered features, developing AI tools, and collaborating with engineering, product, and marketing teams to deploy intelligent solutions into production. The ideal candidate will possess deep technical expertise in machine learning, statistical modeling, and AI framework development, combined with strong problem-solving and interpersonal skills, to ensure effective collaboration and measurable impact in a dynamic and fast-paced environment.

Requirements

• 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

Nice To Haves

• 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)

Responsibilities

• Strengthen the team’s capabilities in statistical modeling, machine learning, and foundational AI development
• Drive innovation in building scalable ML and AI solutions that enhance product intelligence, improve automation, and expand AI-driven capabilities across business domains
• Design, develop, and implement sophisticated machine learning and AI models to solve complex problems, especially for creative applications like video editing apps
• Build end-to-end ML pipelines
• Prototype novel AI-powered features
• Develop AI tools
• Collaborate closely with engineering, product, and marketing partners to bring intelligent solutions into production

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees