Staff Machine Learning Engineer

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. As a member of the Apple ML Data Platform team, your responsibilities will include: Design and build scalable systems for ML data, embeddings, and feature workflows Develop capabilities that improve experimentation, evaluation, and model performance at scale Partner with research and product teams to enable rapid GenAI feature development Drive efficiency, reliability, and automation across inference and AI Ops workflows Collaborate across infrastructure and product groups to ensure seamless integration and adoption Prototype and optimize GenAI models, including open-source models, for scalable production use Continuously improve platform capabilities to handle next-gen ML workloads, including foundation models and retrieval-augmented systems Optimize platform components for large-scale ML workloads across distributed systems Diagnose, fix, improve, and automate complex issues across the entire stack to ensure maximum uptime and performance 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.

For more details click Job Post.