Simulation & Modeling Algorithm Engineer - iPhone

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

The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry‑leading environmental efforts. Join Apple, and help us leave the world better than we found it! Are you up for the challenge? Apple's iPhone Hardware Engineering team is seeking a passionate and collaborative Data Analysis Engineer to drive breakthroughs in battery life optimization, enhance user experience, and improve power management. As a key member of our team, you will demonstrate your analytical expertise to find opportunities for innovation, develop actionable insights, and shape the future of iPhone power performance. You will need a strong foundation in data analysis, machine learning, and control systems, combined with excellent communication and collaboration skills. Come join us!

Description

• Driving Power Data Insights: Performing in-depth data analytics and analysis on vast datasets generated by multiple generations of iPhones to find opportunities for power optimization and user experience enhancements.
• Leveraging Machine Learning for Impact: Applying expertise in machine learning techniques to analyze field data and provide actionable recommendations to multi-functional teams, guiding design decisions and improving power efficiency.
• Owning up Data Infrastructure: Supporting and enhancing our automated power data collection infrastructure for the latest iPhones, ensuring the integrity and availability of critical data.
• Developing Visual Insights: Creating insightful visualization tools to empower multi-functional teams to effectively understand and interpret power performance data, enabling data-driven decisions.
• Conducting Use Case Analysis: Leading detailed power analysis of key use cases, identifying areas for improvement and contributing to innovative power-saving strategies.
• Driving Future Innovation: Research, develop, and champion innovative power-saving algorithms and techniques to shape the future of iPhone power management, pushing the boundaries of mobile technology.

Minimum Qualifications

BS/MS/PhD in Electrical Engineering (EE) or a related field.3+ years of industry experienceHands-on experience implementing modern machine learning techniques, including regression, classification, and clustering, to solve real-world problems.Proficiency in software tools essential for data analysis and modeling, including Matlab, C/C++, R, and Python.

Preferred Qualifications

MS/PhD in Electrical Engineering (EE) or a related field is preferredDeep understanding of probability, statistics, algorithms, and mathematics, enabling you to develop and interpret sophisticated modelsProven ability to process, analyze, visualize, and data mine large volumes of data to extract actionable insights and drive data-driven decisionsExceptional communication, persuasion, and negotiation skills, enabling you to effectively convey complex technical information to diverse audiences and drive consensus