Software Engineer, Siri Core Modeling

Weekly Hours : 40

Role Number : 200628630-0836

Summary

The Siri Natural Language Understanding(NLU) team is seeking an experienced Full-Stack Software Engineer. We develop and extend Siri’s NLU to enable understanding of complex, nuanced intents to support the growth of Siri’s functionality and usefulness.

You will join a fast-paced team that directly supports a variety of project managers, linguistic annotators, and other NLU stakeholders. Through collaboration and iterative development practices, your work will immediately impact the data quality and throughput of Siri NLU model development, helping us deliver a better Siri virtual assistant to our global user base.

Would you like to make an impact on this scale? Join Siri’s Natural Language Understanding team to help us create unique experiences and play a part in the ongoing revolution in human-computer interaction.

Description

Siri Language Technologies team is looking for a resourceful Full-stack Engineer who will drive the design and implementation of the annotation tooling data pipeline and web services to support the development of next-generation NLU technologies. You will be working directly with NLU data scientists and modeling engineers to interpret requirements and make informed design decisions.

Minimum Qualifications

BS, MS in Computer Science, Computer Engineering, or equivalent degree with applicable experience

Experience designing, building, and maintaining APIs (GraphQL preferred), and cloud technologies (Kubernetes and AWS preferred).

Proficient coding skills in the back-end, data manipulation, and scripting languages (e.g., Python, Swift, Golang)

Proficient in SQL and NoSQL databases to build solutions for large scale systems (e.g., PostgresSQL, DynamoDB, Elasticsearch / OpenSearch &AWS Iceberg)

Experience with web programming languages (e.g., Typescript / Javascript, NodeJS, CSS) and modern frontend / web library / framework (React, Redux, NextJS)

Some experience in building highly available production services, including deployment automation and scaling

Excellent grasp of the fundamentals of software engineering

Proficient knowledge of Git

Preferred Qualifications

Experience with large-scale distributed data processing (e.g., Hadoop, Spark, Kafka)

Demonstrates experience architecting and integrating Large Language models into production grade full stack applications, data pipelines or agents workflows, utilizing APIs such as OpenAI, Anthropic Claude & HuggingFace for open source models

Hands-on experience leveraging AI-assisted development environments and code generation tooling (e.g. Claude code, Cursor, GPT-based agent playgrounds) to accelerate prototyping, improve engineering velocity and enhance developer productivity

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