Battery Algorithm ML Engineer

Apple Inc

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Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $184,700–$324,800 / yr
Posted: 4 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $223k

This role $255k

$155k $343k

below market most similar roles pay here above market

This role pays more than 85% of similar roles. Most pay $192,050–$254,750 — the blue band above. At the midpoint, this role pays about $255k versus about $223k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Battery Algorithm ML Engineer

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The Battery Algorithm ML Engineer joins a multi-functional team to develop future Battery Management Systems for various products. This role involves designing and developing advanced battery and power management algorithms and software to improve battery utility. The engineer will define software architecture and write software modules to implement innovative algorithms within a cross-functional environment of algorithm, software, and system engineers. Key responsibilities include developing and commercializing robust battery management solutions for consumer, industrial, telecom, or automotive products. Candidates must possess experience in machine learning algorithms, deep learning applications, and programming in Python or C++. The work focuses on creating a new class of battery systems by designing machine learning inference pipelines and infrastructure to solve complex power management problems in consumer electronics.

Skills

Machine Learning Deep Learning Python C++ Battery Management Systems SW Architecture AI Coding Tools Agentic AI SW Development Process Algorithms Power Management

What you'll do

Design and develop advanced battery and power management algorithms for various products.
Define software architecture for innovative battery management systems.
Write software modules to implement advanced battery algorithms.
Develop and commercialize robust battery management solutions for consumer and industrial products.
Create new classes of battery systems involving novel algorithms and architectures.
Improve battery utility through the development of advanced power management software.

What we're looking for

MS degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
Experience in machine learning algorithms and deep learning applications.
Experience programming in Python or C++.
PhD and 10+ years of relevant industry experience (preferred).
Experience with SW requirement definition and SW development process (preferred).
Experience in the design and architecture of machine learning inference pipelines and underlying infrastructure (preferred).
Experience in using AI coding tools and creating agentic AI applications (preferred).
Experience in innovative and creative ML feature development in battery or consumer electronic domain (preferred).

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