Staff Software Engineer, Applied AI

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $194,600–$293,900 / yr
Posted: 2 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $210k

This role $244k

$145k most similar roles pay here $310k

This role pays more than 75% of similar roles. Most pay $176,550–$244,250 — the shaded band above. At the midpoint, this role pays about $244k versus about $210k 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 2299 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1870 roles with salary data.

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At a glance

TL;DR · Staff Software Engineer, Applied AI

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As a Staff Software Engineer (Applied AI), you will join the team to advance Manufacturing Systems and Operations by prototyping ideas and experimenting with new approaches to solve existing problems. You will collaborate across multiple organizations to develop solutions that move from initial whiteboard concepts to production-ready systems, some of which will be standalone while others integrate into existing infrastructure. Your daily work involves building robust HTTP APIs and backend services using modern programming languages like Go, Python, or Java. The role requires leveraging LLMs from providers such as OpenAI, Anthropic, Gemini, Mistral, and Llama, along with custom fine-tuned models. You will utilize RAG techniques, SQL, PostgreSQL, Snowflake for ETL pipelines, and tools for model monitoring and prompt optimization to address complex challenges in manufacturing design and supply chain management.

What does a Software Engineer earn in California?

Median $214000 from 769 postings across 67 companies.

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Skills

LLM Python Go Java RAG SQL PostgreSQL Snowflake ETL HTTP APIs Model Monitoring Machine Learning Data Warehouse

What you'll do

Prototype and experiment with new approaches using LLMs from providers like OpenAI, Anthropic, and Mistral.
Develop production-ready solutions to improve manufacturing systems and operations.
Build robust HTTP APIs and backend services across the full technology stack.
Implement RAG and modern in-context learning techniques for AI applications.
Create evaluations for prompt optimization and tuning of machine learning workflows.
Manage model pipelines, including monitoring for drift and ensuring model accuracy.
Develop ETL pipelines within data warehouses like Snowflake to support data infrastructure.
Design and architect technical solutions that solve complex challenges for manufacturing and supply chain teams.

What we're looking for

10+ years of experience in a senior role working across the entire tech stack with a skilled team.
10+ years of experience building robust HTTP APIs and backend services.
Expert level grasp of at least one modern programming language such as Python, Java, or Go (preferred).
Experience building solutions that leverage APIs from the latest LLMs.
Experience with model pipeline and registry tools, detecting model drift, automating monitoring, and ensuring accuracy (preferred).
Experience building robust evaluations for prompt optimization and tuning ML workflows (preferred).
Experience with RAG and modern in-context learning techniques (preferred).
Experience with SQL/PostgreSQL, Snowflake ETL pipelines, or manufacturing exposure (preferred).