12 hours ago
Responsibilities
- Design, train, deploy, and optimize machine learning solutions and ML-powered applications for Apple’s global Channel Sales organization.
- Build production-grade generative AI, LLM, LMM, RAG, agent-based, and agentic workflow applications.
- Fine-tune and adapt transformer-based models and optimize them for scalable, low-latency, high-performance inference.
- Build and orchestrate complex LLM pipelines from inception through deployment.
- Collaborate with product, design, and engineering teams on high-impact AI initiatives.
- Communicate complex ML and AI concepts and technical results clearly to technical and non-technical stakeholders.
Requirements
- Bachelor’s or master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely related technical field, or equivalent experience.
- At least 5 years of experience developing and deploying machine learning solutions, with a strong focus on LLMs or LMMs.
- At least 5 years of experience with LLMs and transformer-based architectures such as BERT, GPT, and LLaMA.
- Experience fine-tuning, adapting, and deploying LLMs or LMMs in production-grade applications.
- Proficiency in Python and leading ML frameworks such as PyTorch and TensorFlow.
- Hands-on experience with Hugging Face Transformers and associated libraries.
- Experience with RAG, LangChain or LlamaIndex, distributed computing, cloud platforms, Docker, and Kubernetes.
- Experience with agent-based systems, agentic workflows, advanced LLM serving and inference, and cloud-native infrastructure.
- Expertise optimizing transformer architectures for low-latency, high-performance inference.
- Strong problem-solving, communication, and stakeholder collaboration skills.
- Experience applying machine learning methodologies in domains such as sales.
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.