Sr. Software Development Engineer (Applied ML)-Hardware Product Design

Apple Inc

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$181,100–$318,400 / yr
Posted
5 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $186k
This role $250k
$128k most similar roles pay here $339k

This role pays more than 95% of similar roles. Most pay $157,775–$213,743 — the shaded band above. At the midpoint, this role pays about $250k versus about $186k 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 1777 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1443 roles with salary data.

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At a glance

TL;DR · Sr. Software Development Engineer (Applied ML)-Hardware Product Design

As a senior member of Apple’s Data Science and Visualization (DataViz) team in Hardware Engineering, you will design and build ML systems end-to-end for ADL’s machining and prototyping workflows, integrating 3D geometric data from CAD files with the expertise of machinists. Your daily tasks include architecting multi-component AI workflows, selecting appropriate modeling approaches, establishing robust evaluation strategies, and communicating system behavior to both technical and non-technical stakeholders. You will work closely with engineers and machinists on the ADL side, requiring strong Python skills, fluency in modern ML tools, and experience with full-lifecycle ML projects. Familiarity with 3D geometric data formats and hands-on experience with agentic AI systems are preferred, as is a background in engineering or manufacturing domains where models interact with hardware under real-world constraints.

What you'll do

  • Own ML systems end-to-end for ADL’s machining and design workflows.
  • Architect multi-component AI workflows ensuring debuggability as the system evolves.
  • Work with 3D geometric data to integrate geometry directly into models.
  • Select appropriate modeling approaches based on specific problem requirements.
  • Establish robust evaluation strategies that handle real-world data complexities.
  • Communicate technical trade-offs and limitations clearly to diverse audiences.

What we're looking for

  • 7+ years of experience in building ML systems in production settings.
  • Strong Python skills and fluency with modern foundation models (LLMs, VLMs).
  • Full-lifecycle ML experience from problem framing to deployment.
  • Hands-on experience designing agentic AI systems and their evaluation frameworks.
  • Comfortable collaborating with non-ML domain experts and translating tacit expertise into modeling decisions.
  • Experience working with 3D geometric data formats or 3D libraries preferred.

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