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...

Overview

Apple is hiring a Senior Machine Learning Systems Engineer to build next-generation systems and tools for machine learning model integration. You'll work with Python and various ML technologies to support data scientists and MLEs. This role requires 5+ years of experience in deploying large-scale systems.

Job Description

Who you are

You have 5+ years of industry experience as a Machine Learning Engineer or Software Engineer, particularly in deploying large-scale systems. You thrive on tackling complex challenges and enjoy collaborating with a small, skilled team to design and build innovative solutions. Your background includes a strong understanding of machine learning principles and practices, enabling you to contribute effectively to the development of tools and systems that support applied ML teams throughout their product development cycle.

You possess a deep expertise in Python and are familiar with various machine learning frameworks and libraries. Your experience includes building reliable and scalable systems that facilitate data acquisition, model training, evaluation, and inference. You are adept at problem-solving and have a creative approach to developing cost-effective solutions that meet the needs of your team and the broader organization.

You have a strong sense of shared ownership and are committed to delivering high-quality results. You enjoy working in a collaborative environment where you can share knowledge and learn from others. Your ability to communicate effectively with both technical and non-technical stakeholders makes you a valuable team member.

Desirable

Experience with cloud platforms and tools for machine learning deployment is a plus. Familiarity with data processing pipelines and model evaluation infrastructure will enhance your contributions to the team. You are open to learning new technologies and methodologies that can improve the efficiency and effectiveness of the systems you help build.

What you'll do

In this role, you will be responsible for engineering solutions that support model training and deployment. You will design and build reliable systems to run data processing pipelines and data generation engines, ensuring they are scalable and maintainable. Your work will directly impact the efficiency of machine learning engineers and data scientists as they develop and integrate models into Apple products.

You will collaborate closely with applied ML teams to understand their needs and challenges, providing them with the tools and systems necessary for successful model training and evaluation. Your role will involve integrating machine learning into products, requiring you to think creatively about how to best leverage ML capabilities to enhance user experiences.

You will also be involved in the continuous improvement of existing systems, identifying areas for optimization and implementing changes that enhance performance and reliability. Your contributions will help ensure that the systems you build are not only functional but also user-friendly and efficient.

What we offer

At Apple, you will be part of a dynamic team that is dedicated to pushing the boundaries of technology. We offer a collaborative work environment where innovation is encouraged, and your contributions will have a meaningful impact on the products we create. You will have access to cutting-edge tools and technologies, allowing you to grow your skills and advance your career.

We value diversity and inclusion, and we are committed to creating a workplace where everyone feels welcome and valued. You will have opportunities for professional development and growth, with support from your peers and leadership.

Join us at Apple and be part of a team that is shaping the future of machine learning and technology. Together, we can create products that enhance the lives of our customers and make a difference in the world.

Interested in this role?

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