In this role you will work with highly skilled engineers building scalable systems and frameworks for end-to-end (E2E) evaluation of Apple Intelligence products such as Siri. Your work will be critical in validating the performance and reliability of unreleased software and models ensuring that Siri and Apple Intelligence continues to set the standard for intelligent voice assistants. The position requires a motivated technically qualified Senior ML Engineer with the ability to coordinate work between multiple teams across different time zones and geographical locations. A strong understanding of ML evaluation strategies software lifecycle excellent problem-solving and communication skills are also required.
Proven experience in implementation and evaluation of large scale AI based solutions.
Experience crafting evaluation datasets and strategies for ML based products.
Experience in Large Language Models usage and benchmarking.
Strong programming background in Python Swift or similar languages with a focus on Machine Learning test automation or data tooling.
Experience working on voice assistants NLP systems or real-time AI-powered applications.
Experience designing and scaling systems for software validation quality assessment or ML model evaluation.
Strong organizational skills and problem solving skills on large cross functional team.
B.S. in Computer Science or equivalent required. M.S or Ph.D preferred.
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