5 days ago
Responsibilities
- Design and develop scalable machine learning, Generative AI, optimization, and simulation solutions for supply chain and operational challenges.
- Deploy ML and AI solutions to production and integrate them with existing engineering and application systems.
- Design, deploy, and evaluate reliable AI and agentic systems, including tool use, planning, orchestration, human-in-the-loop controls, robustness, safety, latency, and cost management.
- Apply NLP, reinforcement learning, anomaly detection, large language models, retrieval-augmented generation, fine-tuning, prompt engineering, and agentic systems to operational and logistics problems.
- Independently deliver AI solutions from concept through production, define meaningful KPIs, and measure business impact.
- Collaborate across technical and business teams and communicate complex technical concepts clearly.
Requirements
- Master’s degree in Computer Science, Machine Learning, Applied Mathematics, or a related field.
- At least 5 years of industry experience developing machine learning solutions.
- Hands-on Python programming experience.
- Experience deploying machine learning solutions to production.
- Preferred: PhD in Computer Science, Machine Learning, Applied Mathematics, or a related field.
- Preferred: 10+ years of experience building and deploying production machine learning systems using Python, C++, TensorFlow, or PyTorch.
- Preferred: expertise in machine learning, deep learning, NLP, anomaly detection, large language models, Generative AI, reliable AI systems, agentic systems, scalable data and ML infrastructure, SQL, Spark, graph databases, cloud platforms, and MLOps.
- Preferred: experience applying reinforcement learning, NLP, and Generative AI to operational, logistics, or supply chain problems.
- Preferred: ability to deliver high-impact AI solutions, define KPIs, measure business impact, collaborate effectively, and explain complex technical concepts.
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.