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Today

Machine Learning Engineer, Sales Engineering

Apple Austin, TX

Austin, TX

Today

Full time Ai Ml Artificial Intelligence Business Development

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Job Description

Apple’s Sales Engineering Rapid Application Development (RAD) team is hiring a Machine Learning Engineer in Sales Engineering to design and deploy scalable machine learning and generative AI systems for Apple’s global Channel Sales ecosystem.

Responsibilities

Design, build, and deploy scalable machine learning and generative AI solutions for Apple’s global Channel Sales ecosystem
Develop and optimize ML pipelines using LLMs, LMMs, and RAG-based architectures for production-grade applications
Collaborate with cross-functional teams to translate business needs into intelligent, data-driven systems and workflows
Fine-tune and evaluate transformer-based models such as GPT, LLaMA, and BERT for accuracy, performance, and scalability
Prototype and productionize emerging AI capabilities, including agentic workflows and generative assistants
Apply MLOps best practices across training, deployment, monitoring, and continuous improvement
Ensure secure and compliant handling of sensitive data, including PII, aligned with Apple’s privacy standards

Requirements

Proven ability to fine-tune, adapt, and deploy LLMs/LMMs into real-world, production-grade applications
Proficiency in Python and leading ML frameworks including PyTorch and TensorFlow
Hands-on experience with Hugging Face Transformers and associated libraries
Solid understanding of Retrieval-Augmented Generation (RAG) and experience with orchestration frameworks such as LangChain or LlamaIndex
Familiarity with distributed computing, cloud platforms (AWS, GCP, Azure), and containerization/orchestration tools (Docker, Kubernetes)
Exceptional problem-solving skills, with the ability to clearly articulate complex ML/AI concepts 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 to support 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 optimizing transformer-based architectures such as BERT, GPT, and LLaMA for low latency and high-performance inference
Demonstrated ability to communicate technical results and ML/LLM concepts with clarity and impact to both technical and non-technical stakeholders
Experience applying ML methodologies in specific domains, including sales

Minimum Qualifications

MS / BS in Computer Science, Machine Learning, Artificial Intelligence, or a closely related technical field, or equivalent experience
5+ years experience developing and deploying machine learning solutions with a strong focus on LLMs or LMMs
5+ years experience with LLMs and transformer-based architectures (for example, BERT, GPT, LLaMA)

Technologies

Python
PyTorch
TensorFlow
Hugging Face Transformers
LangChain
LlamaIndex
LLMs
LMMs
RAG
GPT
LLaMA
BERT
Transformer-based architectures
Docker
Kubernetes
AWS
GCP
Azure

Location: Austin, TX (onsite)

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