drjobs ML Engineer - Experimentation, Portal

ML Engineer - Experimentation, Portal

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1 Vacancy
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Job Location drjobs

Cupertino, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

In this role you will design and build the next generation experimentation platform for the Apple Ads ecosystem. You will introduce AI-powered interfaces to introduce new insights develop seamless workflows from model training to A/B testing and evaluation all while delivering on Apples privacy commitments. You will build complex large-scale and distributed software systems in cloud computing environments. Youll join a team where we obsess over user experience and believe the best interfaces make complex technology feel simple. Youll conduct user research iterate on designs based on real feedback and measure success through user adoption and satisfaction. We value technical excellence in service of user needs not complexity for itsown sake. You will join and contribute to a culture that emphasizes observability and understandability reliability resiliency simplicity reusability extensibility scalability velocity and Technologies Youll Use: Infrastructure: Docker AWS Splunk DataDog etcFrontend: Modern JavaScript/TypeScript React data visualization libraries ( )Backend: Java 21 Spring Boot Python PostgreSQL


  • 2-3 years of experience in full-stack and ML model development with an in-depth understanding of data structures and algorithms. Industry internship experience is preferred.
  • Experience with full-stack software development and design using React Storybook Java Spring Scala Python.
  • Building and deploying Machine Learning models to production using data processing tools including Spark.
  • Working on A/B Testing infrastructure and/or methodologies using experience with multi-variate experimentation and metrics generation/measurement.
  • Experience with database design and database languages (SQL) to build applications.
  • Using alerting and observability tools including DataDog or Splunk to monitor systems in production.
  • Optimizing system performance using data structures and algorithms.
  • Skilled at operating in a cross-functional organization.
  • Ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
  • Curious business attitude with a proven ability to seek projects with a sense of ownership.
  • Excellent communication social and presentation skills.
  • Desire to work in a fast-paced and challenging work environment.
  • Description


  • Degree in Computer Science Statistics Applied Math or related field.

Employment Type

Full-Time

Company Industry

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