Machine Learning Engineer - Backend/Data Engineer: Agentic Workflows, Siri Core Modeling

**Role Number:** 200603427-0836

**Summary**

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish.

Do you want to make Siri and Apple products more intelligent for our users? The Siri & Information Intelligence team is building groundbreaking technology to revolutionize how users interact with Apple devices.

As part of this group, you will contribute to build the infrastructure to power the development of multi-modal agentic workflows.

**Description**

We design, build and maintain infrastructure to support agentic workflows for Siri. Our team is in charge of data generation, introspection and evaluation frameworks that are key to efficiently developing foundation models and agentic workflows for Siri applications. In this team you will have the opportunity to work at the intersection of with cutting edge foundation models and products.

**Minimum Qualifications**

+ Strong background in computer science: algorithms, data structures and system design

+ Strong Python skills

+ Experience building multi-turn agent evaluation systems (model-as-a-judge, human evaluations, graders/rubrics, metrics, simulation environments, etc.)

+ Experience with SQL/NoSQL database technologies, data warehouse frameworks like BigQuery/Snowflake/RedShift/Iceberg and data pipeline frameworks like GCP Dataflow/Apache Beam/Spark/Kafka

**Preferred Qualifications**

+ Experience with large scale distributed system design, operation and optimization

+ Experience with Vector Databases

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) .