Machine Learning Engineer, Sales Engineering

Apple • Austin, TX

9d

About The Position

Apple’s Sales Engineering Rapid Application Development (RAD) team is seeking a Machine Learning Engineer to build intelligent, scalable solutions for Apple’s global Channel Sales. The role involves developing and deploying machine learning solutions, including generative AI and advanced ML capabilities, to create high-performance, production-ready systems that support strategic initiatives and deliver measurable business impact.

The engineer will work with product, design, and engineering teams to design, train, deploy, and optimize ML-powered applications. Work may include GenAI-driven workflows, Retrieval-Augmented Generation (RAG) systems, and new intelligent capabilities. The position is described as hands-on and based in a collaborative, experiment-driven environment focused on solving real-world business problems and delivering value quickly.

Requirements

• MS or BS 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, or LLaMA.

Nice To Haves

• Ability to fine-tune, adapt, and deploy 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.
• Understanding of RAG and practical experience with orchestration frameworks such as LangChain or LlamaIndex.
• Familiarity with distributed computing, cloud platforms such as AWS, GCP, or Azure, and containerization or orchestration tools such as Docker and Kubernetes.
• Strong problem-solving skills and ability to communicate complex ML/AI concepts to diverse audiences.
• Experience with agent-based systems and agentic workflows.
• Proficiency with advanced LLM serving and inference frameworks for scalable, 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 optimizing transformer-based architectures such as BERT, GPT, or LLaMA for low-latency, high-performance inference.
• Ability to communicate technical results and ML/LLM concepts clearly to technical and non-technical stakeholders.
• Experience applying ML methodologies in specific domains, such as sales.

Responsibilities

• Design, train, deploy, and optimize machine-learning-powered applications.
• Develop and deploy machine learning solutions using generative AI and advanced ML technologies.
• Build scalable, high-performance, production-ready systems for Apple’s global Channel Sales.
• Develop GenAI-driven workflows, RAG-based systems, and other intelligent capabilities.
• Collaborate with product, design, and engineering teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior