8 days ago
Cupertino, CA, USAMid Level
H1B sponsor
Responsibilities
- Design and build scalable AI/ML systems, including classical predictive models and LLM-powered agentic applications.
- Take ML and agentic solutions from research and experimentation through robust, production-grade deployment.
- Drive quality initiatives across data ingestion, model training, deployment pipelines, and MLOps tooling.
- Build, deploy, and optimize production-ready AI/ML applications and establish standards for model integration, deployment, and monitoring.
- Develop agentic systems with tool calling, multi-step reasoning, memory, and retrieval-augmented generation.
- Evaluate LLM and agent outputs using quality assessment, hallucination detection, task-success metrics, and latency benchmarking.
- Partner cross-functionally to identify high-value agentic use cases and translate ambiguous business problems into measurable solutions.
Requirements
- 4+ years of related experience building high-throughput, scalable applications or machine learning models in production environments.
- Proficiency in Python and hands-on experience building distributed systems.
- Experience building large-scale machine learning systems with big-data technologies such as Spark, SQL, or Snowflake.
- Understanding of supervised and unsupervised learning, model evaluation, and feature engineering.
- Experience with PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, or similar ML frameworks.
- Experience building and deploying applications on large language models through APIs or self-hosted inference, including technologies such as Claude, GPT, Gemini, Llama, vLLM, or TGI.
- Hands-on experience building agentic systems and using frameworks such as LangGraph, LangChain, LlamaIndex, or AutoGen.
- Strong problem-solving and cross-functional communication skills.
- Familiarity with MLOps practices, model versioning, CI/CD pipelines, and experiment tracking tools such as MLflow is preferred.
Tech Stack
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.