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Analytics Engineer, Data & ML Innovation

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Summary

Would you like to play a part in the next revolution in human-computer interaction? Create groundbreaking technology for large-scale systems, spoken language, big data, and artificial intelligence? And work with the people who created the intelligent assistant that helps millions of people get things done — just by asking? The vision for the Siri Data organization is to improve Siri by using data as the voice of our customers. As an Analytics Engineer on the team, you will design, implement the generation of, and analyze data that informs the development of new classes of AI/ML-driven Siri experiences!

To succeed in this role, you must be a proactive and determined problem solver with a proven ability to work across multiple codebases, teams, and organizations. You must enjoy crafting compelling experiences, writing elegant code, and applying innovative new technologies in the service of human-centered design.

Key Qualifications

  • You are a polyglot programmer who has experience with full-stack, data-oriented application development (we are fans of Python and Clojure). Experience with iOS development (Swift, Objective C, Xcode) is a plus.
  • Designed and developed schematized instrumentation of the user experience in complex software system (e.g. protobuf, thrift)
  • Know how to engineer data from robust pipelines and have a keen eye for how to scale and how to automate (e.g. Kafka, Spark, Elasticsearch).
  • Statistical thinker: you care about distributions more than averages; you can find and investigate sources of variance; you ensure you can measure effect sizes from changes in the user experience.
  • Self-motivated, curious with demonstrated creative and critical thinking capabilities and an innate drive to improve how things work!
  • Track record of working well with constraints. You are creative in finding solutions that work within these constraints but courageous when you recognize constraints that must evolve.
  • You have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.
  • Can influence decisions with excellent verbal and written communication skills.

Description

Will partner closely with Siri machine learning and engineering teams who are pushing the state of the art forward for intelligent assistants. Your work will enable them to build mental models of Siri engagement and also directly shape priorities on how Siri improves. Will become a specialist in Siri's client and server architecture and sources of data to guide how the Siri experience is instrumented and measured. Will build tools that enable engineers to more easily integrate instrumentation and data inspection into their development process. We are looking for people with a track record in building products and relationships to affect decisions. Join us, and impact hundreds of millions of customers across billions of their interactions with a personal, intelligent assistant who is available on iPhone, iPad, HomePod, Mac, Watch, CarPlay, and tv across more than 30 languages.

Education & Experience

BS/MS in Computer Science or related

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 $115,000 and $217,500, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.