
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 Senior Machine Learning Engineer to shape the future of personalization across its platforms. You'll work with technologies like Apache Spark and TensorFlow to build large-scale machine learning systems. This position requires a proven track record in machine learning and data privacy.
Job Description
Who you are
You have a BS or MS in Computer Science, Statistics, or a related field, preferably with a focus on machine learning or data privacy. With senior-level experience, you have a proven track record of shipping complex, large-scale machine learning systems to production — you've navigated the challenges of deploying models at scale and understand the intricacies involved in maintaining them.
Your mastery of big data is evident through your expertise in designing and building distributed data processing systems at petabyte scale using technologies like Spark, Flink, or Beam. You think critically about data architecture, including data ontology, data security models, and data portability challenges — your strategic mindset allows you to foresee potential issues and address them proactively.
You are familiar with building or integrating agentic systems and Large Language Models (LLMs), showcasing your ability to work with cutting-edge technologies. Your deep experience and passion for privacy-preserving techniques, such as Differential Privacy, highlight your commitment to user privacy while delivering exceptional user experiences.
What you'll do
As a foundational member of the team, you will architect how we manage and learn from data, setting the standard for privacy and compliance across the globe. You will collaborate with cross-functional teams to define the next generation of personalization in the era of Generative AI, ensuring that user experiences remain magical while upholding our unwavering commitment to privacy.
You will be responsible for designing and implementing large-scale machine learning systems that power content discovery on platforms like the App Store, Apple Music, and Apple TV+. Your role will involve working closely with data engineers and product managers to ensure that the systems you build are robust, scalable, and aligned with Apple's privacy standards.
You will also engage in continuous learning and experimentation, leveraging the latest advancements in machine learning and data privacy to enhance our personalization capabilities. Your contributions will directly impact how millions of users interact with Apple's services, making your work both challenging and rewarding.
What we offer
At Apple, we foster an inclusive and diverse work environment where innovation thrives. You will have the opportunity to work on groundbreaking projects that shape the future of technology and user experiences. We offer competitive compensation and benefits, along with a culture that encourages collaboration and personal growth.
Join us in our mission to deliver state-of-the-art user experiences while maintaining the highest standards of privacy. We encourage you to apply even if your experience doesn't match every requirement — your unique perspective could be the key to our success.
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