Cellular Data Science & Machine Learning Engineer

1 Day ago • All levels • $135,400 PA - $250,600 PA

Job Summary

Job Description

The Data Science & Machine Learning Engineer will be tasked with developing innovative data processing pipelines leveraging machine learning models. This involves demonstrating data science algorithms to efficiently analyze vast datasets and logs, facilitating the automated resolution of issues or providing actionable recommendations. The role necessitates close collaboration with FW engineering teams for the integration and deployment of ML models and data processing pipelines within the comprehensive automation system, ultimately delivering analytical insights to aid FW engineers in debugging. The engineer will be part of a team to brainstorm and develop models and algorithms to solve complex, impactful problems.

Job Details

Data Science & Machine Learning Engineer will be responsible for developing groundbreaking data processing pipeline based on machine learning models and demonstrating data science algorithms to parse extensive data and logs in timely manner to automatically tackle the issues or provide recommendations for the next step of solving problem. In addition, you will be closely partnering with FW engineering teams in integrating and deploying ML models and data processing pipeline as part of entire automation system to deliver analysis results to benefit FW engineers in debugging issues. You will work with an amazing team, brainstorm new insights, and develop models and algorithms to solve complicated problems that have a meaningful impact.

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We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.


Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.

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