Battery Algorithm ML Engineer

Apple Inc

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Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$175,000–$308,500 / yr
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $223k
This role $242k
$156k $325k
below market most similar roles pay here above market

This role pays more than 68% of similar roles. Most pay $192,050–$254,750 — the blue band above. At the midpoint, this role pays about $242k 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

The Battery Algorithm ML Engineer joins the BMS team to develop future battery management systems and improve battery utility. In this role, you will design and develop advanced battery and power management algorithms and software for various products. You will work within a multi-functional environment alongside algorithms, software, and system engineers to define software architecture and write software modules that implement innovative battery algorithms. The position requires proficiency in machine learning algorithms, deep learning applications, and programming in Python or C++. Key responsibilities include developing and commercializing robust battery management solutions for consumer, industrial, telecom, or automotive products. You will also focus on the design and architecture of machine learning inference pipelines and the underlying infrastructure for new classes of battery systems.

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 new 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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