Job Details

Weekly Hours: 40

Role Number: 200615272-3956

Summary

Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Siri Agent Modeling - Tooling & Operations team to rapidly iterate the tooling and infrastructure that enables the larger organization to do their best work.

Description

As a Machine Learning Enablement Engineer, you will be a hyper-generalist, able to quickly solve the complex and varied problems our organization encounters. Some days, that might involve building polished, bespoke data visualizations to help engineers track the performance of their models. Other days, you might be engaged in extensive, low-level performance engineering to fit a software component within the latency and memory budget required to run on-device. You will be as comfortable designing a Siri-scale data pipeline as you are designing an excellent UI.

Minimum Qualifications

• Working proficiency with Rust

• Highly proficient with Typescript and Python

• Proven ability to ship quickly

Preferred Qualifications

• Highly productive with React and Rust

• Proven ability to leverage LLMs to build and ship quickly

• Founding engineer or internship experience at an early-stage startup that shipped a product successfully

• Experience with real-time programming, graphics, or compilers

• Experience with hardware-aware performance engineering

• Strong system design skills

• Experience with GCP (Google Cloud Platform)

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .