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Apple Senior / Staff Machine Learning Engineer Apple ML Data Platform United States, West Virginia 269126277
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- 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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