Senior Software Engineer, Data, AIML

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$216,200–$324,800 / yr
Posted
89 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $173k
This role $270k
$95k $349k
below market most similar roles pay here above market

This role pays more than 99% of similar roles. Most pay $149,500–$196,568 — the blue band above. At the midpoint, this role pays about $270k versus about $173k 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 3544 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2734 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, Data, AIML

The Senior Software Engineer - Data , AIML joins the AI and Machine Learning team to build world-class data solutions powering the Apple Foundation Model lifecycle. This role involves designing and maintaining server-side logic, developing back-end components, and connecting applications with third-party web services. You will build and integrate LLM-powered workflows, AI agents, and agentic pipelines into production backend services while architecting data pipelines and microservices. Key technologies include Python, FastAPI, Django, Flask, Redis, VectorDB, Airflow, Docker, and Kubernetes. You will also utilize GenAI frameworks like LangChain, LlamaIndex, and OpenAI. The work focuses on the ML training lifecycle and data engineering workflows, requiring you to translate business requirements into technical designs using agile methodologies, continuous integration, and automated testing.

What does a Software Engineer earn in California?

Median $214500 from 1223 postings across 76 companies.

See salary data

What you'll do

  • Design and develop scalable backend systems and APIs using Python frameworks like FastAPI, Django, or Flask.
  • Build and integrate LLM-powered workflows, AI agents, and agentic pipelines into production backend services.
  • Architect and maintain data pipelines, microservices, and cloud-native applications for ML training lifecycles.
  • Evaluate and integrate third-party web services, LLM APIs, and GenAI frameworks like LangChain or LlamaIndex.
  • Translate business requirements into technical designs and robust backend components.
  • Implement software development best practices including code reviews, automated testing, and continuous integration.
  • Monitor, debug, and optimize backend systems for reliability and performance in production environments.

What we're looking for

  • Bachelor's degree in Computer Science or related field.
  • 10+ years of extensive backend development experience with solid foundational programming skills.
  • Expertise in architecting and developing backend systems using Python.
  • Proficiency in REST API, Redis, VectorDB, or other large scale data storage systems.
  • In-depth knowledge of workflow orchestration systems like Airflow, distributed systems, and containerization technologies like Docker and Kubernetes.
  • Experience in Data Engineering & ML domain & training lifecycle (preferred).
  • Experience with cloud platforms like AWS or GCP (preferred).
  • Experience building and productionizing GenAI applications using frameworks such as LangChain (preferred).

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