Machine Learning Engineer, Sales Engineering

Imagine what you could do here. At Apple great ideas have a way of becoming great products services and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you could accomplish. Apple is where individual imaginations gather together committing to the values that lead to great work. Every new product we build service we create or Apple Store experience we deliver is the result of us making each others ideas stronger. Apples Sales Engineering team is shaping the future of Channel Sales with innovative high-impact applications. Were looking for a Machine Learning Engineer to help us design and build the next generation of intelligent systems that power Apples global partner this role youll develop and deploy machine learning solutions while leveraging generative AI and advanced ML capabilities to deliver scalable production-ready systems that accelerate strategic high-impact initiatives across Apple Channel Sales. If youre passionate about applying AI to solve complex business problems experimenting with emerging GenAI technologies and building products that make a real difference join our collaborative team and help us move fast on game-changing and Operations Engineering is part of ISu0026T and drives the technology behind Apples global operations sales and supply chain. The team connects the systems that move products from factory to customer bridging sales platforms with the operational infrastructure that keeps Apple running at scale and ensuring Apples technology and business priorities move in lockstep. We are looking for people with consistent record of running complex cross functional projects under demanding timelines. This is a hands-on position where the Project Manager will be involved in building strong relationships with stakeholders requirement analysis functional and technical design discussions driving project deadlines and communicating project status to senior leadership.

Apples Sales Engineering Rapid Application Development (RAD) team is looking for a Machine Learning Engineer to build intelligent scalable solutions that power Apples global Channel Sales. Youll leverage generative AI and advanced machine learning technologies to deliver high-performance production-ready systems that drive measurable business impact. The ideal candidate blends deep ML expertise with strong engineering skills is passionate about applying AI to solve real-world problems and thrives in fast-paced environments delivering value quickly. Youll work side by side with product design and engineering teams to design train deploy and optimize ML-powered applications that push the boundaries of innovationwhether enabling GenAI-driven workflows implementing RAG-based systems or pioneering new intelligent capabilities. If youre excited about shaping impactful AI solutions in a collaborative experiment-driven environment Sales Engineering RAD team is where youll thrive.

Design build and deploy scalable machine learning and generative AI solutions that power Apples global Channel Sales and optimize ML pipelines leveraging LLMs LMMs and RAG-based architectures for production-grade with cross-functional teams to translate business needs into intelligent data-driven systems and -tune and evaluate transformer-based models (e.g. GPT LLaMA BERT) for accuracy performance and and productionize emerging AI capabilities including agentic workflows and generative MLOps best practices for model training deployment monitoring and continuous secure compliant handling of sensitive data (including PII) while maintaining Apples privacy standards.

MS / BS in Computer Science Machine Learning Artificial Intelligence or a closely related technical field or equivalent experience.n5 years experience developing and deploying machine learning solutions with a strong focus on Large Language Models (LLMs) or Large Multimodal Models (LMMs).n5 years experience with LLMs and transformer-based architectures (e.g. BERT GPT LLaMA).

Proven ability to fine-tune adapt and deploy LLMs/LMMs into real-world production-grade in Python and leading ML frameworks such as PyTorch and -on experience leveraging Hugging Face Transformers and associated understanding of Retrieval-Augmented Generation (RAG) and practical experience with orchestration frameworks like LangChain or with distributed computing cloud platforms (AWS GCP Azure) and containerization/orchestration tools (Docker Kubernetes).nExceptional problem-solving skills and the ability to articulate complex ML/AI concepts clearly and effectively to diverse extending beyond traditional LLMs/LMMs to include agent-based systems and agentic with advanced LLM serving and inference frameworks ensuring scalable and efficient model experience building sophisticated RAG applications and orchestrating complex LLM pipelines from inception to knowledge of distributed systems and cloud-native in optimizing transformer-based architectures (e.g. BERT GPT LLaMA) for low latency high-performance ability to communicate complex technical results and ML/LLM concepts with clarity and impact to both technical and non-technical applying ML methodologies in specific domains such as sales.