Sr. Machine Learning Engineer - Finance

Apple Inc

Quick summary

Work type: On-site
Location: Austin, TX
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $220k

$165k most similar roles pay here $273k

This listing doesn't post a salary. Most similar roles pay $189,357–$249,750.

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 1816 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1473 roles with salary data.

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At a glance

TL;DR · Sr. Machine Learning Engineer - Finance

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As a Senior Machine Learning Engineer in Apple’s Finance team, you will play a pivotal role in developing the data infrastructure and services that drive insights and automation for financial decision-making. This position requires collaboration across teams to build robust ML Ops processes within a highly regulated environment, ensuring compliance with SOX and other regulatory standards. Your responsibilities include operationalizing AI solutions by applying advanced machine learning algorithms such as regression, classification, and anomaly detection, while also implementing MLOps practices including CI/CD pipelines and drift monitoring on cloud platforms like AWS, GCP, or Azure. You will need strong Python skills, experience with version control systems, and the ability to communicate technical concepts clearly to non-technical stakeholders.

Skills

Python CI/CD MLOps AWS GCP Azure Docker Kubernetes Terraform Prometheus Git Jenkins PostgreSQL SQL Scikit-learn TensorFlow PyTorch RegEx

What you'll do

Develop AI solutions using Python, adhering to DRY principles and testing standards.
Implement MLOps processes including CI/CD pipelines and drift monitoring.
Apply ML algorithms for regression, classification, anomaly detection, and generative AI.
Ensure compliance with SOX regulations and other financial regulatory requirements.
Collaborate on building data foundations and services for Finance organization insights.

What we're looking for

Bachelor’s degree in computer science, data science, finance, economics, accounting, or related field with at least seven years of relevant experience.
Proficient in Python development adhering to DRY principles, modularity, and testing standards using version control systems.
Experience applying ML algorithms for regression, classification, anomaly detection, generative AI, agentic solutions, and implementing MLOps/LLMOps practices.
Strong ability to communicate technical details effectively to non-technical stakeholders.
Expertise in advocating and enforcing version control, test-driven development, and robust CI/CD processes.

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