Senior Apps Applied Scientist

Were 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 Scientist who will strengthen our teams 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-drivenncapabilities across business domains.

The Applied Scientist will work on designing developing and implementing sophisticated machine learning and AI models to solve complex problems particularly for creative applications like our image 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.

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.n3 years of programming proficiency with Python for data science and AI (e.g. Pandas Scikit-learn NumPy).n3 years of hands-on experience applying statistical modeling and machine learning algorithms for supervised and unsupervised learning (classification regression clustering etc.).n3 years of experience working with large-scale data and distributed systems (e.g. Hadoop Spark).nWorking familiarity with causal inference models and -on experience deploying AI/ML models into a production with LLM fine-tuning prompt engineering or retrieval-augmented generation (RAG).nExperience with rapid prototyping reproduction and validation of research developing or contributing to AI frameworks APIs or internal tools used by other presentation skills distilling sophisticated analysis and concepts into concise business-focused takeaways.

Strong product sense and a passion for user developing AI tools frameworks or APIs to support model deployment or LLM-based applications.