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Apple Senior Machine Learning Engineer Apple Services Engineering AI/ML United States, West Virginia 292334026
09.09.2025
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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!
- Inference Service Development: Design, develop, and deploy high-performance machine learning inference services with a focus on scalability and efficiency.
- Big Data Pipeline Engineering: Build and maintain data processing pipelines to support model training and tuning across large datasets.
- Model Training Pipeline Optimization: Manage and optimize GenAI & Machine Learning training pipelines to improve performance in distributed computing environments.
- Areas of focus: Work on implementation of applications such as summarization, question answering, chatbots, information retrieval, semantic search, and text generation.
- BS in Computer Science, Computer Engineering, Information Systems, Electronic Engineering or related fields with 4+ years of experience working in the AI/ML field.
- Strong programming skills in Java, Scala, Python and experience with ML libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, or similar.
- Solid experience and 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 with 2+ years of experience working in the AI/ML 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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