Join a team at the forefront of ML infrastructure and generative AI, where data and model workflows come together to enable the next generation of intelligent experiences on Apple products and services. We build robust systems that connect scalable data pipelines with advanced ML workflows, accelerating the development of real-world AI applications. Our work spans the full ML lifecycle, from experimentation to deployment, and you'll play a key role in shaping how AI models are built, optimized, and scaled. We develop a platform for ML data and features that powers advanced GenAI applications. This includes embeddings (generation, evaluation, ANN search, multimodal support), AI Ops, efficient inference, and a modern feature platform designed to streamline experimentation and drive innovation. We're looking for engineers and researchers passionate about generative models, data-centric ML, and intelligent systems across diverse real-world use cases. With the autonomy to experiment, the scale to make an impact, and the support to take ideas from prototype to production, you'll work alongside a world-class team to build intelligent, flexible systems that make ML development faster, more reliable, and more creative. \\n
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\nExpertise in building and running large scale distributed systems\nFamiliarity with modern generative techniques (e.g. transformers, diffusion, retrieval-augmented generation)\nProven experience building and delivering data and machine learning infrastructure in real-world production environments\nFamiliarity with fine-tuning workflows, model optimization, and preparing models for scalable inference\nFamiliarity with generative AI and its applications in accelerating and enhancing machine learning workflows\nExperience configuring, deploying and troubleshooting large scale production environments\nExperience in designing, building, and maintaining scalable, highly available systems that prioritize ease of use\nExtensive programming experience in Java, Python or Go\nStrong collaboration and communication (verbal and written) skills\nComfortable navigating ambiguity and evolving technical landscapes, especially in fast-moving areas\nB.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or equivalent practical experience\n
Experience in the below is preferred:\nProficiency in one or more ML frameworks\nExperience with containerization and orchestration technologies, such as Docker and Kubernetes.\n
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 12bc7e11128f3037ec1109d8945d3bb4
- Posted 4 days ago
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