Sr Machine Learning Engineer, ML Systems Engineering
Apple
Full-time
On-site
Cupertino, California, United States
AI and Machine Learning
We are seeking passionate, creative, and curious engineers with experience shipping machine learning systems and a proven track record of outstanding software engineering abilities. We need your expertise to invent the future by integrating new features with highly complex systems. You will need to learn and deeply understand the way Apple’s software operates in order to deliver new capabilities and features. The most successful engineers ask questions, are eager to teach and learn together, and share a common belief that we can surprise and delight our customers with personalized intelligent experiences in all of Apple’s products. Join us to benefit the lives of hundreds of millions of people around the world!
As a member of our team, you will ship excellent software for machine learning systems; establish scalable automated processes for evaluation and monitoring; contribute to a healthy team culture where everyone feels respected, empowered, and challenged to grow; commit to engineering excellence by upholding best practices that enable us to move quickly with confidence; obsess over the user experience first, and learn the power of story telling to communicate complex ideas; and develop innovative tools and techniques that change the way we look at problems. Join the Proactive Intelligence team to create the future of intelligent experiences across our entire lineup of devices iPhone, iPad, HomePod, Mac, Apple Watch, AppleTV, and more.
- 3+ years of experience building production machine learning systems
- Proficiency in Python programming
- Proficiency in at least one compiled language like C, C++, Objective-C, Swift, Go, Java, Kotlin, C#, or Rust
- MS in Computer Science or equivalent practical experience
- Experience working with ML pipelines and large datasets in production environments
- Experience with at least one ML framework like JAX, Keras, TensorFlow, Pytorch; XGBoost, LightGBM; or Scikit-learn
- Experience in resource constrained computing (e.g., embedded systems or mobile development)