Machine Learning Engineer, Enterprise and Education Team
6 days ago
Are you a dedicated problem solver who enjoys exploring solutions beyond the ordinary? Do you excel in situations of uncertainty, finding inspiration in environments that demand creative thinking? We are seeking adept engineers and scientists who share our passion for using machine learning to revolutionize people's lives through inventive user experiences.
We are seeking a highly skilled Machine Learning Engineer experienced in machine learning system implementation. This role focuses on leveraging AI and Machine Learning technologies to drive customer adoption of Apple hardware and to modernize Enterprise and Education sales and business development through innovative AI/ML solutions.
Description
- Demonstrate a deep understanding of and hands-on experience with machine learning technologies.
- Assist customers in building proofs of concept (POCs) for machine learning model training and inference.
- Support customers in deploying AIGC (AI-Generated Content) technology stacks, including Large Language Models (LLMs), Vision-Language Models (VLMs), Stable Diffusion models, Text-to-Speech models, and AIGC applications across major hardware platforms.
- Research and evaluate emerging AIGC technologies such as LLM fine-tuning, AI agents, Retrieval-Augmented Generation (RAG), parallel processing, and hardware clustering.
- Provide technical consultation and pre-sales support to enterprise and education clients.
- Collaborate with internal sales, marketing, and technical teams to accelerate digital transformation and expand integration within the Apple ecosystem.
Minimum Qualifications
Strong proficiency in:
Python and PyTorch application programming.
Application development using machine learning software frameworks.
AIGC technology implementation and deployment.
Experience in customer-facing technical roles and solution selling to enterprise or education clients.
Preferred Qualifications
Solid knowledge of Mac hardware and macOS.
Experience in SwiftUI app development using Xcode.
Familiarity with developing machine learning applications using Apple's MLX or Metal Performance Shaders (MPS) frameworks.
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