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Apple AIML - Senior Machine Learning Engineer Siri Information Intelligence 
United States, California, Cupertino 
730320812

18.11.2024
Description
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 and predictors.
Minimum 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, conversational AI, speech recognition
  • Excellent programming skills in Python and data analytical skills.
  • Excellent problem solving, critical thinking, and communication skills.
Preferred Qualifications
  • Strong attention to detail. Proven ability to dive into data to discover hidden patterns and conduct error/deviation analysis
  • Good experience with applying Big Data tools (MapReduce, Hadoop, Hive and/or Pig, Spark) to large quantities of textual data
  • 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
  • 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
  • B.S., M.S. or Ph.D. in Computer Science, Electrical Engineering, Statistics, Applied Math, Physics or related fields is preferred
Pay & Benefits
  • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.