ML Applied Scientist, Apple Services Engineering AI/ML

In this role, you will drive technical advancement, influence product direction, and be part of the team that is responsible for bringing the latest advancements in Machine Learning, Natural Language Processing, as well as Generative and Agentic AI to drive major impact on how users discover Apple Media content on devices worldwide! Our team has strong expertise in NLP, Information Retrieval, Machine Learning, Language Modeling, Generative AI, Data Mining, and Distributed Computing (Hadoop, Scala, Spark). You will use data driven analysis to ideate, evaluate and prioritize features, and conduct A/B Tests to ensure we objectively measure improvements. You will ensure successful delivery of features, code, data, and models to production. You will collaborate with researchers, engineers, and operations teams to ensure that features and models are functioning at or above expected performance levels, globally in languages from Arabic to Vietnamese and everything in between! Tackle complex research challenges by simplifying problems, inventing novel solutions, and driving concepts from ideation to production. Present key technical findings and research contributions to both internal teams and the wider public community. Design, fine-tune, and deploy Large Language Models (LLMs) and other advanced ML models for user-facing features. Develop and optimize high-performance components within large-scale distributed systems, using languages such as C++ and Go. Own the end-to-end deployment process, ensuring that features, code, data, and models are successfully launched and monitored in production. Perform in-depth data analysis using big data technologies to identify opportunities for improving content discovery and the overall user experience. Design, conduct, and analyze rigorous A/B tests to objectively measure the impact of new features and ensure performance meets or exceeds expectations. Partner with a world-class team of engineers, researchers, and statisticians to design and deliver cohesive, scalable AI solutions. Work closely with cross-functional teams to initiate and successfully complete projects that directly enhance the user experience on services like the App Store. Directly impact how millions of users discover content across the entire Apple ecosystem, including all devices (macOS, iOS, tvOS, watchOS, visionOS) and services, supporting dozens of languages globally. Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Electrical Engineering, or a related technical field. 2+ years of professional experience in the field of Artificial Intelligence/Machine Learning (AI/ML). Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow. Industry experience in one or more of the following areas: Generative AI, Agentic AI systems, Natural Language Processing (NLP) (e.g., text summarization), Search Relevance and Ranking, Online Advertising, or Recommendation Systems. Solid understanding of modern machine learning concepts, including Transformers, LLMs, model evaluation techniques, and large-scale data pipelines. Master's or PhD in Computer Science, Computer Engineering, Information Systems, Electrical Engineering, or a related technical field. 4+ years of professional AI/ML experience with a track record of shipping production models. Deep expertise in Search and Information Retrieval, including indexing, query understanding, retrieval models, and ranking algorithms. Hands-on experience with modern AI paradigms and tools, such as Retrieval-Augmented Generation (RAG), agentic workflows, vector databases (e.g., Pinecone, FAISS), and knowledge graphs. Experience with large-scale data processing and pipeline construction using technologies like Spark, Hadoop, Java, or Scala. Expertise in building low-latency model serving systems, with experience in languages like Go (Golang) is a plus. Experience providing technical leadership on complex, cross-functional projects. Excellent communication skills and a history of collaborating with partners to design and deliver scalable ML solutions.

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