Battery Algorithm ML Engineer

Apple Inc

Confirmed live today Trusted

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$142,300–$214,300 / yr
Posted
11 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $223k
This role $178k
$126k $294k
below market most similar roles pay here above market

This role pays less than 82% of similar roles. Most pay $192,050–$254,750 — the blue band above. At the midpoint, this role pays about $178k 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 technologies for various products. Working in a multi-functional environment alongside algorithms, software, and system engineers, the successful candidate will define software architecture and write software modules to implement innovative battery algorithms. The role focuses on designing and developing advanced battery and power management solutions to improve battery utility across consumer, industrial, telecom, or automotive products. Key responsibilities include developing and commercializing robust management solutions and creating new classes of battery systems. Required technical skills include experience in machine learning algorithms, deep learning applications, and programming in Python or C++. Candidates should also possess experience in software requirement definition, machine learning inference pipelines, and creating agentic AI applications within the battery or consumer electronics domain.

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.
  • Design and architect machine learning inference pipelines and underlying infrastructure.
  • Develop creative ML features specifically for the battery or consumer electronics domain.

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 3+ 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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