Sr. Machine Learning Engineer - Finance

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $181,100–$272,100 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $219k

This role $227k

$161k most similar roles pay here $284k

This role pays more than 58% of similar roles. Most pay $187,875–$249,750 — the shaded band above. At the midpoint, this role pays about $227k versus about $219k 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 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 be responsible for building and operationalizing AI solutions that deliver critical insights and automate decisions within the organization. This role involves developing robust ML Ops processes to ensure compliance with SOX regulations and other financial standards while fostering strong software engineering practices among data science teams. You will collaborate closely with various business units to understand their unique challenges and build scalable infrastructure using Python, adhering to principles of modularity and testing. Key skills include experience in regression, classification, anomaly detection, generative AI, and MLOps on cloud platforms like AWS, GCP, or Azure.

Skills

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

What you'll do

Develop AI solutions using Python, adhering to DRY principles and testing standards.
Implement MLOps/LLMOps processes including CI/CD pipelines and drift monitoring.
Build infrastructure for machine learning services in a Finance environment compliant with SOX regulations.
Apply ML algorithms for regression, classification, anomaly detection, and generative AI solutions.
Explain technical details to non-technical stakeholders effectively.

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.
Expertise in applying ML algorithms for regression, classification, anomaly detection, generative AI, agentic solutions, and implementing MLOps/LLMOps practices including CI/CD pipelines and cloud platforms.
Strong communication skills to explain technical concepts to non-technical stakeholders effectively.
Advocacy and understanding of version control, test-driven development, and robust CI/CD processes.

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