Summary
Posted: Sep 28, 2020
Role Number:200195869
Do you want to leverage your ML skills and NLP domain knowledge to play an important role in the next revolution of Natural Langua...Summary
Summary
Posted: Sep 28, 2020
Role Number:200195869
Do you want to leverage your ML skills and NLP domain knowledge to play an important role in the next revolution of Natural Language Understanding/Conversational AI? Would you like to join the team that's creating groundbreaking conversational assistant technologies that already helps millions of people get things done on daily bases? Join the Siri Experience team at Apple!
Key Qualifications
As a Machine Learning Engineer within Siri Experience, you will define new approaches for evaluating ML based systems, conversational AI, and model interpretability. You will run experiments, statistically interpret data with a mind on causation, data visualization, plus designing, building, and evaluating models. You will work with large amounts of real-world data to analyze and propose changes to Siri user experience. You will ensure data quality throughout all stages of acquisition and processing, data wrangling, etc. Your expertise in defining and measuring the online and offline end-to-end metrics will help communicate, evaluate, and iterate on state-of-the-art deployed models and predictors.
This position offers the right person a chance to play an important role in the next revolution in machine learning and Natural Language Understanding/Conversational AI. You will contribute to a product that is redefining computing. You will be part of a team that's crafting groundbreaking conversational assistant technologies for both large scale systems and new client devices. You will work with the people who built the intelligent assistant that already helps millions of people get things done. This is a fast-paced role with high visibility, impact, and ensures we build the most advanced AI systems in the industry.
Education & Experience
BS/MS or Ph.D in Computer Science or related field
Additional Requirements
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