Software Engineer, AML, AI & Data Platforms

Apple Inc

Confirmed live yesterday High trust

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Work type
On-site
Location
Austin, TX
Posted
1 day ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $202k
$140k most similar roles pay here $247k

This listing doesn't post a salary. Most similar roles pay $169,000–$235,750.

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 2321 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1891 roles with salary data.

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At a glance

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

As a Software Engineer (AML), AI & Data Platforms (AiDP), you will join the Information Systems and Technology organization to build intelligent systems that democratize AI across various internal solutions. You will be responsible for developing and deploying innovative AI models, implementing robust and scalable machine learning infrastructure including data storage, processing, and model serving components. Your daily work involves creating feature engineering, data augmentation, prompt engineering, and fine-tuning frameworks while designing automated ML pipelines for training and evaluation. You will also apply model compression techniques to optimize large language models. The role requires expertise in PyTorch or TensorFlow, Python, and SQL. You will utilize knowledge of computer vision, natural language processing, transformer models like BERT and GPT, and data visualization tools such as Superset, Streamlit, Tableau, Business Objects, and Looker.

What does a Software Engineer earn in Texas?

Median $192050 from 192 postings across 39 companies.

See salary data

What you'll do

  • Develop and deploy innovative AI models and systems to enhance the performance of Apple's products and services.
  • Build robust, scalable ML infrastructure including data storage, processing, and model serving components for production environments.
  • Create frameworks for feature engineering, data augmentation, prompt engineering, and fine-tuning across specific domains.
  • Design and implement automated ML pipelines for preprocessing, training, hyper-parameter tuning, and model evaluation.
  • Apply advanced model compression and optimization techniques to reduce the resource footprint of large language models.
  • Develop intelligent systems to democratize AI capabilities across a wide range of internal solutions.
  • Manage full lifecycle operations including model monitoring and refresh management in production environments.

What we're looking for

  • BS in Computer Science or related field or equivalent.
  • 3+ years of machine learning engineering experience in feature engineering, model training, model serving, model monitoring, and model refresh management.
  • Experience developing AI/ML systems at scale in production or high-impact research environments.
  • Passionate about computer vision and natural language processing, especially in LLMs and Generative AI systems.
  • Knowledge of common frameworks and tools such as PyTorch or TensorFlow.
  • Experience in anomaly detection and forecasting & related methodologies (preferred).
  • Experience and proficiency in Python and writing efficient SQLs (preferred).
  • Strong coding skills and familiarity with software engineering principles like testing, code reviews, and deployment (preferred).

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