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 AI/ML - Data Engineer, ML Platform & Technology - Seattle, Washington, United States

Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Software Engineer
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200211440 / Latpro-3765071 
Date posted: Dec-11-2020
State, Zip: Washington, 98199


AI/ML - Data Engineer, ML Platform & Technology

Seattle , Washington , United States

Machine Learning and AI


Posted: Dec 10, 2020

Role Number: 200211440

Apple builds world-class innovative products that integrate hardware with intelligent software experiences using machine learning, artificial intelligence, and computer vision. The Machine Learning Platform and Technologies (MLPT) is the team that makes it possible for Apple engineers to innovate on ML driven product features rapidly and at scale by providing services designed specifically for the ML engineering lifecycle. These services are being built and optimized using a data-driven and ML approach. Come join the team that is building the data platform that drives product and service development decision making. We are looking for exceptional engineers with experience in building distributed systems and scalable data platforms used to build data lakes and near-realtime analytics systems. Qualified candidates are experienced in building services and have experience working with data systems. They possess not only an understanding of how to build data pipelines, but have a deep understanding of how the underlying large scale data systems are designed and implemented and are on the vanguard of understanding what the latest open sourced large scale data storage and processing systems are available and how they are designed. Successful candidates have a high bias for action and are able to get build complex solutions and systems with little to no guidance. They are comfortable quickly combine multiple technologies to build systems and have the wherewithal to dive deeply into components when things are working. They sweat the details and have a strong intuitive sense for data quality. In this role, you will partner with engineers and machine learning engineers throughout the MLPT organization. Together you will create key data systems that driving the observability and optimization of the services the team provides. You will own the definition, design, and implementation of a production-ready data service that will used for data-driven optimization and improvements of our services and evolve to support a ML driven approach to system optimization.

Key Qualifications

  • Delivered data-services with measurable impact on internal or external customers
  • 5+ years experience building production services in a distributed computing environment
  • Driven system projects from inception to production
  • An understanding of distributed system concepts (such as transactions and consensus) in practice
  • Ability to present and communicate complex technical concepts clearly
  • Experience with partnering with other technical stakeholders
  • Demonstrated technical leadership through influence and mentoring
  • In-depth experience building solutions using public clouds (Azure, AWS, GCP)


Ideal candidates are: * Comfortable working in earlier stages of product development with ambiguous requirements * Deep understanding of how modern data systems work and not just an end user of such systems * Experienced across the software services stack including front-end systems * Have experience and in-depth knowledge of open source distributed systems such as Hadoop, Spark, Zookeepr, etcd, Cassandra, Kubernetes

Education & Experience

Bachelor's degree in Computer Science or equivalent. Apple is an Equal Opportunity Employer that is committed to inclusion and diversity

Additional Requirements

  • Experience building widely adopted APIs
  • Software engineering in large-scale systems a plus
  • An appreciation how a platform design impacts end-user experience
  • Experience using or working with NLP or machine learning technology


See job description


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