Apple's Sales Engineering team is seeking a Machine Learning Engineer to develop and deploy innovative machine learning solutions that enhance the global partner ecosystem. The role focuses on leveraging generative AI and advanced ML capabilities to create scalable, production-ready systems that drive significant business impact. The ideal candidate will combine deep ML expertise with strong engineering skills and thrive in a fast-paced, collaborative environment. This position offers the opportunity to work closely with product, design, and engineering teams to push the boundaries of AI innovation.

• M.S. in Computer Science, Machine Learning, Artificial Intelligence, or a closely related technical field, or equivalent practical experience.
• 5+ years experience developing and deploying machine learning solutions, with a strong focus on Large Language Models (LLMs) or Large Multimodal Models (LMMs).
• 5+ years experience with LLMs and transformer-based architectures (e.g., BERT, GPT, LLaMA).
• Proficiency in Python and leading ML frameworks such as PyTorch and TensorFlow.
• Hands-on experience leveraging Hugging Face Transformers and associated libraries.
• Solid understanding of Retrieval-Augmented Generation (RAG) and practical experience with orchestration frameworks like LangChain or LlamaIndex.
• Familiarity with distributed computing, cloud platforms (AWS, GCP, Azure), and containerization/orchestration tools (Docker, Kubernetes).
• Exceptional problem-solving skills and the ability to articulate complex ML/AI concepts clearly and effectively to diverse audiences.
• Experience extending beyond traditional LLMs/LMMs to include agent-based systems and agentic workflows.
• Proficiency with advanced LLM serving and inference frameworks, ensuring scalable and efficient model deployment.
• Practical experience building sophisticated RAG applications and orchestrating complex LLM pipelines from inception to deployment.
• Working knowledge of distributed systems and cloud-native infrastructure.
• Expertise in optimizing transformer-based architectures (e.g., BERT, GPT, LLaMA) for low-latency, high-performance inference.
• Demonstrated ability to communicate complex technical results and ML/LLM concepts with clarity and impact to both technical and non-technical stakeholders.
• Experience applying ML methodologies in specific domains, such as sales.

• Design, train, deploy, and optimize ML-powered applications that enhance Apple’s Channel Sales.
• Leverage generative AI and advanced machine learning technologies to create high-performance systems.
• Collaborate with product, design, and engineering teams to deliver scalable solutions.
• Push the boundaries of innovation by implementing GenAI-driven workflows and pioneering new intelligent capabilities.
• Ensure the deployment of production-grade applications that drive measurable business impact.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.