The ADP ML Data Platform team enables future Apple intelligent products by providing Apple engineers with cutting edge ML technologies large scale compute and data systems specifically designed for machine learning.
Strong foundation in machine learning with hands-on experience across the end-to-end ML workflow - including data preparation pipeline development experimentation evaluation and deployment
Expertise in building and running large scale distributed systems.
Familiarity with modern generative techniques (e.g. transformers diffusion retrieval-augmented generation)
Proven experience building and delivering data and machine learning infrastructure in real-world production environments
Familiarity with fine-tuning workflows model optimization and preparing models for scalable inference.
Familiarity with generative AI and its applications in accelerating and enhancing machine learning workflows
Experience configuring deploying and troubleshooting large scale production environments
Experience in designing building and maintaining scalable highly available systems that prioritize ease of use
Extensive programming experience in Java Python or Go
Strong collaboration and communication (verbal and written) skills
Comfortable navigating ambiguity and evolving technical landscapes especially in fast-moving areas
B.S. M.S. or Ph.D. in Computer Science Computer Engineering or equivalent practical experience
Experience in the below is preferred:
Proficiency in one or more ML frameworks
Experience with containerization and orchestration technologies such as Docker and Kubernetes.
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