Software Engineer, AI & Data Platforms

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Austin, TX
Posted: 28 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $184k

$135k most similar roles pay here $229k

This listing doesn't post a salary. Most similar roles pay $151,000–$216,000.

Based on 240 similar postings.

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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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Software Engineer, AI & Data Platforms

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As a Software Engineer - Athena, Ai & Data Platforms (AiDP), you will join the Athena Platform Services team to build data services and platforms that run machine learning analytics to prevent fraud, waste, and abuse. You will translate business and machine learning requirements into scalable decisioning systems, building resilient, low-latency services for real-time inference and streaming data while managing batch analytics and reporting. Your daily work involves shipping automated pipelines for feature engineering and model training, defining CI/CD and observability practices, and optimizing performance across various workloads. You will utilize Python, Java, or Scala alongside distributed technologies like Spark, Flink, and Kafka. The role also involves working with Kubernetes, cloud-native technologies, and potentially Alibaba Cloud to manage data and model health through monitoring, validation, and drift detection within a complex risk decisioning environment.

What does a Software Engineer earn in Texas?

Median $186925 from 189 postings across 40 companies.

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Skills

Python Java Spark Flink Kafka Kubernetes Scala CI/CD Machine Learning Generative AI Alibaba Cloud Data Pipelines Real-time Inference Streaming Data Observability Feature Engineering

What you'll do

Translate business and machine learning requirements into scalable platform and decisioning systems.
Build resilient, low-latency services for real-time inference and streaming data.
Establish gold-standard CI/CD, observability, and SLA practices for Data and ML.
Ship automated pipelines to power feature engineering, model training, and online serving.
Drive performance and cost optimizations across all data and machine learning workloads.
Manage data and model health through monitoring, validation, and drift detection.

What we're looking for

Bachelor's degree in Computer Science or a related technical major.
3+ years of experience building production-grade software or data platforms at scale.
Proficiency in Python or Java.
Hands-on experience with Spark, Flink, Kafka, or similar distributed data technologies.
Experience designing, optimizing, and debugging large-scale production data pipelines.
Experience with ML/AI platforms, including feature engineering, model training, or GenAI workflows (preferred).
Familiarity with Kubernetes and cloud-native technologies (preferred).
Experience with Alibaba Cloud or other cloud platforms in regulated environments (preferred).

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