Machine Learning Engineer - News, Books, and Stocks Team

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $147,400–$272,100 / yr
Posted: 38 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $218k

This role $210k

$132k most similar roles pay here $287k

This role pays less than 63% of similar roles. Most pay $187,238–$249,750 — the shaded band above. At the midpoint, this role pays about $210k versus about $218k for comparable roles.

Based on 239 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer - News, Books, and Stocks Team

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As a Senior Software Engineer on the Terrific team, you will play a pivotal role in developing cutting-edge solutions for large-scale data processing and analytics. Your day-to-day responsibilities include designing and implementing robust software systems using advanced algorithms and machine learning techniques. You will work closely with cross-functional teams to integrate your solutions into existing infrastructure, ensuring seamless performance at scale. The ideal candidate possesses expertise in Python, Java, and C++, along with experience in cloud platforms like AWS or Azure. Familiarity with big data technologies such as Hadoop and Spark is essential, alongside a strong background in distributed systems and database management. This role demands a deep understanding of complex business problems and the ability to translate them into innovative technical solutions that drive significant impact for our customers.

What you'll do

Develop and maintain high-quality software applications for diverse platforms.
Conduct code reviews to ensure adherence to coding standards and best practices.
Troubleshoot complex technical issues and implement effective solutions.
Stay updated with the latest technology trends and advancements in software development.
Design and optimize system architecture to enhance performance and scalability.