Apple

About Apple

The personal technology company redefining user experience

🏢 Tech, Hardware👥 1001+ employees📅 Founded 1976📍 Cupertino, CA4.2
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Key Highlights

  • Market cap of $3 trillion as of 2022
  • Over 1 billion active devices worldwide
  • Comprehensive medical plans including mental healthcare
  • Paid parental leave and gradual return-to-work program

Apple Inc. (NASDAQ: AAPL), headquartered in Cupertino, CA, is the world's most valuable company with a market capitalization of $3 trillion as of 2022. Known for its iconic products such as the iPhone, iPad, and Mac, Apple serves over 1 billion active devices globally. The company has a strong commi...

🎁 Benefits

Apple offers comprehensive medical plans covering physical and mental healthcare, paid parental leave, and a gradual return-to-work program. Employees...

🌟 Culture

Apple's culture emphasizes an obsessive focus on user experience and consumer privacy, setting it apart from competitors. The company promotes inclusi...

Apple

Ml Data Operations Lead Lead

AppleAustin - On-Site

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Overview

Apple is hiring an ML Data Operations Lead to establish and scale data curation and synthesis across Wallet, Payment, and Commerce. You'll work with Machine Learning and Generative AI technologies to architect privacy-preserving pipelines. This role requires expertise in data operations and collaboration with cross-functional teams.

Job Description

Who you are

You have a strong background in machine learning and data operations, with experience in architecting data pipelines that prioritize privacy and efficiency. Your expertise in generative AI technologies allows you to innovate and drive strategic initiatives that enhance data synthesis and reduce external dependencies. You are comfortable collaborating with engineering, product, privacy, and legal teams to ensure that data operations align with organizational goals and compliance standards.

You possess a deep understanding of data curation and generation processes, enabling you to lead comprehensive initiatives that optimize costs while enhancing privacy protection. Your ability to oversee the complete lifecycle of machine learning data operations ensures that you can effectively manage data acquisition and synthesis capabilities. You are passionate about leveraging AI/ML technologies to create impactful solutions that can change the world.

Desirable

Experience with privacy-preserving machine learning practices is a plus, as is familiarity with advanced data synthesis techniques. You are a proactive leader who thrives in a collaborative environment and is eager to mentor others in the field of data operations.

What you'll do

In this role, you will architect and drive the strategic vision for machine learning data operations across Wallet, Payment, and Commerce. You will lead critical initiatives such as the Data Augmentation & Synthesis Initiative, where you will pioneer comprehensive data synthesis efforts to strategically reduce dependency on external data procurement. Your work will involve developing synthetic data generation capabilities that accelerate model development while optimizing costs and enhancing privacy protection.

You will oversee the end-to-end lifecycle of machine learning data operations, ensuring excellence in data acquisition and synthesis. This includes collaborating with cross-functional teams to design and implement robust data pipelines that support scalable, privacy-preserving ML solutions across multiple product initiatives. Your leadership will shape the data operations strategy, impacting features used by millions of users.

What we offer

Apple is committed to fostering an inclusive and diverse workplace. You will have the opportunity to work at the intersection of cutting-edge generative AI research and production ML systems, contributing to projects that have a significant impact on the company's offerings. We encourage you to apply even if your experience doesn't match every requirement, as we value curiosity and a growth mindset.

Join us in shaping the future of machine learning and AI technologies, where your contributions will help drive innovation and enhance user experiences across Wallet, Payment, and Commerce.

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