CareerPlan

Machine Learning Engineer, Sales Engineering

Austin, United States of AmericaFull-time2026-10-29 → 2026-11-10

Core

Design and deploy scalable machine learning and generative AI solutions to power Apple's global Channel Sales ecosystem.

Role type

Senior Machine Learning Engineer (Generative AI / LLMs)

Builds

Intelligent, production-ready systems and workflows for Apple's partner ecosystem

Domain

Sales technology / Generative AI

Deliverable

production ML models

Required skills

Large Language Models (LLMs), Large Multimodal Models (LMMs), Transformer architectures, Python, PyTorch, TensorFlow, Hugging Face Transformers, Retrieval-Augmented Generation (RAG), LangChain, LlamaIndex, MLOps, Distributed systems, Cloud platforms (AWS, GCP, Azure), Containerization (Docker, Kubernetes)

Preferred skills

Fine-tuning LLMs/LMMs, Agentic workflows, Advanced LLM serving and inference frameworks, Optimizing transformer architectures for low latency, Building sophisticated RAG applications, Domain expertise in sales

Technologies

GPT, LLaMA, BERT, LangChain, LlamaIndex, PyTorch, TensorFlow, Hugging Face, Docker, Kubernetes, AWS, GCP, Azure

Responsibilities

Design, build, and deploy scalable ML and GenAI solutions; Develop and optimize ML pipelines leveraging LLMs, LMMs, and RAG; Fine-tune and evaluate transformer-based models; Prototype and productionize emerging AI capabilities including agentic workflows; Apply MLOps best practices for model lifecycle management; Ensure secure, compliant handling of sensitive data including PII

Seniority

Senior, hands-on IC