Power & Battery ML Engineer for Data-Driven Optimization

Socket.dev; Cupertino (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Apple in Cupertino is seeking a Data Analysis Engineer to drive breakthroughs in battery life optimization, enhance user experience, and improve power management across iPhone generations.

You will apply machine learning, data analysis, and control-systems expertise to develop actionable insights, build power data infrastructure, and create visualization tools that empower cross-functional teams to make data-driven decisions.

Qualifications

• BS/MS/PhD in Electrical Engineering (EE) or a related field with 3+ years of industry experience.
• Hands-on experience implementing modern machine learning techniques (regression, classification, clustering).
• Proficiency in Matlab, C/C++, R, and Python.

Responsibilities

• Driving Power Data Insights: Perform in-depth data analytics on iPhone power datasets to identify optimization opportunities.
• Leveraging Machine Learning for Impact: Apply ML techniques to field data and guide design decisions to improve power efficiency.
• Owning up Data Infrastructure: Support and enhance automated power data collection infrastructure for latest iPhones.
• Developing Visual Insights: Create visualization tools for multi-functional teams to understand power performance data.
• Conducting Use Case Analysis: Lead detailed power analysis of key use cases to identify improvement areas.
• Driving Future Innovation: Research and develop power-saving algorithms to shape future iPhone power management.

Skills

Data analysis

Machine learning

Control systems

Education

BS/MS/PhD in Electrical Engineering or related field

Tools

MATLAB

C/C++

R

Python

Job description

Apple in Cupertino is seeking a Data Analysis Engineer to drive breakthroughs in battery life optimization, enhance user experience, and improve power management across iPhone generations.

You will apply machine learning, data analysis, and control-systems expertise to develop actionable insights, build power data infrastructure, and create visualization tools that empower cross-functional teams to make data-driven decisions.