below marketmost similar roles pay hereabove market
This role pays more than
99%
of similar roles. Most pay
$149,500–$198,900
— the blue band above.
At the midpoint, this role pays about
$270k
versus about
$174k
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.
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 scalable server-side logic, backend components, and APIs to support data scientists and researchers. Key responsibilities include architecting data pipelines, microservices, and cloud-native applications, as well as integrating LLM-powered workflows and agentic pipelines into production services. The candidate will utilize Python, FastAPI, Django, or Flask, alongside Redis, VectorDB, and workflow orchestration tools like Airflow. Technical requirements include proficiency in Docker, Kubernetes, and REST APIs, with a focus on GenAI frameworks like LangChain and LlamaIndex. The work addresses complex data engineering and machine learning training lifecycle challenges to deliver high-performance production systems.
What does a Software Engineer earn in California?
Median $214500 from 1193 postings across 76 companies.
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.
Monitor, debug, and optimize backend systems for reliability and performance in production environments.
Implement software development best practices including code reviews, automated testing, and continuous integration.
Translate business requirements into technical designs and robust backend components.
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, specifically with FastAPI, Django, or Flask.
Proficiency in REST API, Redis, VectorDB, or other large-scale data storage systems.
In-depth knowledge of workflow orchestration systems like Airflow, distributed systems, cloud-native applications, and containerization technologies like Docker and Kubernetes.
Experience in Data Engineering & ML domain and training lifecycle (preferred).
Experience building and productionizing GenAI applications, including LLM integration, RAG pipelines, and agentic workflows (preferred).
Swift
Go
C++
Java
Python
Rust
React
Angular
Vue
JavaScript
Objective-C
AWS
Google Cloud
Microsoft Azure
Kubernetes
Spark
Hadoop
Kafka
SQL
NoSQL
Data Pipelines
Distributed Systems
iOS
Android
macOS
visionOS
watchOS