AI/ML - Senior Machine Learning Engineer - Siri Experience at Apple (Seattle, WA)

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 thats creating groundbreaking conversational assistant technologies that already helps millions of people get things done on daily bases? Join the Siri Experience team at Apple!
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 thats creating groundbreaking conversational assistant technologies for both large scale systems and new client devices. You will work with the people who created 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.

As Siri is becoming increasingly complex AI system, it is critical to understand the impact of each ML model on other dependent models, while assessing the impact on Siri end-user experience. The Siri Experience team leads the development of advanced evaluation methodologies for ML based systems, model interpretability, and experimentation, to ensure that every release delivers an improved Siri user experience.

The team is searching for talented ML Engineers to work with a passionate, product-focused team to 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

Additional Requirements

* Strong background in A/B testing procedure, causal analysis, and cohort analysis.
* Exposure to model interpretability techniques and their real-world advantages/drawbacks
* Good Conversational AI domain knowledge
* Experience working with end-to-end pipelines and/or crowd-sourced data labeling

Please let the company know you found this position via aijobsdb.com so we can keep providing you with quality jobs.