Software Engineer (AML), AI & Data Platforms (AiDP)

Apple Inc

Quick summary

Work type: On-site
Location: Austin, TX
Posted: 5 days ago
Nearby: 99+ roles within 25 mi

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Similar $201k

$149k most similar roles pay here $247k

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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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Software Engineer (AML), AI & Data Platforms (AiDP)

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As a Machine Learning Engineer at Apple’s AI & Data Platforms (AiDP) team, you will work on developing intelligent systems to enhance the capabilities of Apple's products and services. Your responsibilities include building robust, scalable ML infrastructure for data storage, processing, and model serving, as well as creating advanced feature engineering frameworks and automated ML pipelines for efficient experimentation and iteration. You will also implement model compression techniques to optimize resource usage while maintaining performance. Ideal candidates have a BS in Computer Science or equivalent, 3+ years of experience in machine learning engineering, and expertise in frameworks like PyTorch or TensorFlow. Strong skills in Python, SQL, and data visualization tools such as Superset and Streamlit are preferred, along with knowledge of transformer models like BERT and GPT. This role offers the opportunity to work on cutting-edge AI solutions at scale within a leading technology company.

Skills

Python PyTorch TensorFlow SQL Superset Streamlit Tableau CI/CD Kubernetes Docker AWS GCP Azure PostgreSQL MongoDB Git Jenkins Prometheus Grafana

What you'll do

Develop robust, scalable ML infrastructure for seamless integration into production environments.
Design automated ML pipelines for efficient data preprocessing and model training.
Implement advanced feature engineering frameworks to optimize AI/ML model performance.
Apply model compression techniques to reduce resource footprint while maintaining performance.
Create novel prompt engineering and fine-tuning frameworks for specific tasks and domains.

What we're looking for

3+ years of machine learning engineering experience in feature engineering, model training, serving, monitoring, and refresh management.
BS in Computer Science or related field, with a focus on AI/ML systems at scale.
Expertise in computer vision, natural language processing, LLMs, and generative AI systems.
Proficiency in PyTorch or TensorFlow for developing AI/ML models.
Strong coding skills in Python and experience writing efficient SQL queries.
Experience with transformer models like BERT and GPT, understanding their underlying principles.

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