AI/ML - Senior Machine Learning Engineer - Siri Experience

Seattle, WA 98104
  • Job Code
    200221185
Summary

Summary

Posted: Jun 29, 2021

Weekly Hours: 40

Role Number:200221185

Do you want to leverage your ML skills and NLP domain knowledge to play an important role in the next revolutio...Summary

Summary

Posted: Jun 29, 2021

Weekly Hours: 40

Role Number:200221185

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!

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 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.

Key Qualifications

  • 7+ years of professional work experience applying machine learning to real-world problems, and crafting scalable and effective data solutions.
  • Strong domain knowledge in at least one of the following: NLP, data mining, speech recognition
  • Excellent programming skills in Python
  • Good experience with applying Big Data tools (MapReduce, Hadoop, Hive and/or Pig, Spark) to large quantities of textual data
  • Excellent data analytical skills. Strong attention to detail. Proven ability to dive into data to discover hidden patterns and conduct error/deviation analysis
  • Excellent problem solving, critical thinking, and communication skills.
  • Domain knowledge in applied statistics and experimental design is big plus!
  • Enthusiasm for continuing to learn state-of-the-art techniques in machine learning/data science

Description

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

Education & Experience

B.S., M.S. or Ph.D. in Computer Science, Electrical Engineering, Statistics, Applied Math, Physics or related fields.

Additional Requirements

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AI/ML - Senior Machine Learning Engineer - Siri Experience

Apple, Inc.
Seattle, WA 98104

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