
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 seeking a 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 3+ years of experience in deploying large-scale systems.
Job Description
Who you are
You have 3+ years of experience as a Machine Learning Engineer or Software Engineer, focusing on deploying large-scale systems. Your strong understanding of machine learning principles allows you to tackle complex challenges in model training and deployment. You thrive in collaborative environments, enjoying the shared ownership of projects and the opportunity to innovate. Your creativity and problem-solving skills enable you to develop scalable and maintainable solutions that meet the high standards of Apple's products.
You are familiar with data acquisition and synthesis, training, evaluation, and serving of machine learning models. Your experience includes building reliable and scalable systems that support data processing pipelines and model inference systems. You have a passion for creating tools that enhance the productivity of applied ML teams, ensuring that their workflows are efficient and effective.
Desirable
Experience with cloud platforms and tools that facilitate machine learning operations is a plus. Familiarity with integrating machine learning into consumer products will set you apart. You are eager to learn and adapt to new technologies, contributing to the continuous improvement of the systems you work on.
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 systems that run data processing pipelines, ensuring they are reliable and scalable. Your work will directly impact the efficiency of machine learning engineers and data scientists at Apple, allowing them to focus on developing innovative products.
You will collaborate closely with applied ML teams throughout the product development cycle, providing them with the tools they need to succeed. Your role will involve integrating machine learning models into products, ensuring they function seamlessly and meet user expectations. You will also be tasked with evaluating the performance of models and making necessary adjustments to improve their effectiveness.
What we offer
Apple offers a dynamic work environment where innovation is encouraged. You will be part of a small, highly skilled team that values collaboration and creativity. We provide opportunities for professional growth and development, allowing you to expand your skill set and advance your career. Our commitment to diversity and inclusion ensures that all team members feel valued and respected.
You will have access to cutting-edge technologies and resources that empower you to make a significant impact on the products we develop. Join us in shaping the future of machine learning at Apple, where your contributions will help create tools that enhance the lives of millions of customers worldwide.
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