About Apple
The personal technology company redefining user experience
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...
Skills & Technologies
Overview
Apple is hiring a Machine Learning Infrastructure and Data Engineer to develop scalable infrastructure for AI/ML innovations. You'll work with technologies like Python and computer vision algorithms. This role requires expertise in machine learning and data engineering.
Job Description
Who you are
You have a strong background in machine learning and data engineering, with experience in developing scalable infrastructure for AI applications. You understand the complexities of computer vision and have a passion for building robust systems that can handle large-scale data challenges. Your expertise in Python allows you to create efficient algorithms and pipelines that support innovative technologies. You thrive in collaborative environments, working closely with researchers and engineers to turn ambitious ideas into reality. You are detail-oriented and have a knack for problem-solving, always looking for ways to optimize processes and improve system performance. You are excited about the potential of AI and ML to shape the future of technology and are eager to contribute to groundbreaking projects.
Desirable
Experience with distributed computing systems and orchestration of large datasets is a plus. Familiarity with cloud platforms and tools for data processing will enhance your ability to succeed in this role. A background in computer graphics or related fields can also be beneficial as you work on cutting-edge technologies.
What you'll do
In this role, you will be responsible for designing and implementing the infrastructure that powers Apple's machine learning algorithms. You will collaborate with a team of experts to develop and extend pipeline infrastructure, ensuring that it meets the demands of large-scale data processing. Your work will involve orchestrating distributed compute tasks across petabyte-scale datasets, which will directly impact the development of new algorithms for Apple products. You will also be tasked with creating validation frameworks that ensure the quality and reliability of the data used in machine learning applications. As you drive the creation of scalable infrastructure, you will help define strategic data collection approaches that push the boundaries of what is achievable in AI and ML. Your contributions will not only support existing algorithms but will also shape the direction of future product innovations at Apple.
What we offer
Apple provides a dynamic work environment where innovation is at the forefront. You will have the opportunity to work on projects that have a significant impact on millions of users worldwide. The company values collaboration and encourages you to share your ideas and insights with your team. You will be part of a culture that fosters growth and development, allowing you to expand your skills and advance your career. Apple also offers competitive compensation and benefits, ensuring that you are rewarded for your contributions to the team and the company as a whole.
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