Machine Learning Engineer - Apple Services Engineering
Apple
Full-time
On-site
New York City, New York, United States
Machine Learning
You will drive technical advancement, influence product direction, and be part of a team responsible for bringing the latest advancements in Machine Learning, Natural Language Processing and Generative AI to drive major impact on how users discover Apple Media content on devices worldwide!
This is a team with strong expertise in 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!
- BS in Computer Science, Computer Engineering, Information Systems, Electronic Engineering or related fields.
- 4+ years of experience working in the AI/ML field.
- Strong programming skills in Java, Scala, Python and experience with ML libraries such as JAX, PyTorch, TensorFlow,
- Hugging Face, LangChain, or similar.
- Solid understanding of modern ML architectures, big data pipelines, and evaluation techniques
- MS/PhD in Computer Science, Computer Engineering, Information Systems, Electronic Engineering or related fields.
- 2+ years of experience working in the GenAI/LLM field.
- Expertise in large-volume big data processing (batch or streaming) and experience with Apache Spark and Apache
- Flink .
- Familiarity with agentic workflows, Retrieval-Augmented Generation (RAG), vector databases (e.g., FAISS, Pinecone),
- and knowledge graphs.
- Strong communication skills and adept at working with cross functional partners to design cohesive engineering
- solutions that scale ML products for billions of users.