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Machine Learning Engineer, Applied Data Science Program

Apple is a leading technology company that creates innovative products, services, and customer experiences.
Machine Learning
Entry-Level Software Engineer
Hybrid
5,000+ Employees
AI · Enterprise SaaS
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Description For Machine Learning Engineer, Applied Data Science Program

At Apple, new ideas have a way of quickly becoming outstanding products, services, and customer experiences. The Applied Data Science Program (ADSP) is a rotational program providing entry-level talent with practical work experience through project-based rotations across various teams. As a Machine Learning Engineer in this program, you'll build sophisticated, scalable, and robust architecture, tools, data products, and critical data pipelines optimized for rapid business intelligence, data analysis, and data science. You'll work with teams across Apple, using data analysis and predictive modeling techniques to define, build, deploy, and maintain end-to-end operational solutions that have a direct and measurable impact on the company and customers.

Responsibilities include:

  • Translating ambiguous business problems into technical solutions
  • Creating tools to support self-service analytics, geospatial analytics, automated disaster recovery, self-healing data engineering pipelines, real-time reporting, and decision support systems
  • Developing, deploying, and operationally supporting machine-learning models
  • Applying data science to core finance processes for automation and capability elevation

This role offers the opportunity to make a significant impact at one of the most influential technology leaders in the industry, working on projects that directly affect Apple's ecosystem and business processes.

Last updated 8 months ago

Responsibilities For Machine Learning Engineer, Applied Data Science Program

  • Build sophisticated, scalable, and robust architecture, tools, data products, and critical data pipelines
  • Work with teams across Apple using data analysis and predictive modeling techniques
  • Define, build, deploy, and maintain end-to-end operational solutions
  • Create tools for self-service analytics, geospatial analytics, and automated processes
  • Develop and support machine-learning models for various applications
  • Apply data science to core finance processes for automation and improvement

Requirements For Machine Learning Engineer, Applied Data Science Program

Python
Scala
Java
  • Proficient in at least one programming language (Python/Scala/Java preferred)
  • Practical experience with querying languages such as SQL and extracting insights from complex data sets
  • Theoretical understanding of data modeling concepts, data structures, and machine learning algorithms
  • Effective communication skills to translate complex concepts into business-focused solutions
  • Meticulous, self-starter, and thrives in a fast-paced environment
  • Bachelors or Masters in Data Science, Computer Science, or related Engineering field (preferred)

Benefits For Machine Learning Engineer, Applied Data Science Program

401k
Medical Insurance
Dental Insurance
Vision Insurance
  • Rotational program with exposure to various teams
  • Opportunity to work on impactful projects
  • Career growth potential within Apple

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