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Apple Machine Learning Engineer - Apple Services Engineering United States, West Virginia 410445052
Yesterday
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- Key Responsibilities:
- Model Training Framework Development: Design and develop model training framework with a focus on scalability
- and efficiency, support Apple service engineering GenAI feature development.
- Big Data Pipeline Engineering: Build and maintain data processing pipelines to support model training and tuning
- across large datasets.
- Model Inference System: Manage and optimize GenAI model inference system to support Apple Foundation model and open source models inference.
- 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.
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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