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Software Engineer, Siri Core Modeling

Yesterday Cupertino, CA

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.","responsibilities":"Conceptualize, design, develop, test, deploy, maintain and improve annotation tooling with a modern technology stack, continuous integration, and deployment that will be used by multiple teams within AI/ML

Developing and maintaining complex, rich, large-scale web applications for data-intensive systems.

Ability to clearly communicate, and collaborate with designers, front end engineers, annotation project leads, data scientists, and data engineers as we develop highly reliable and scalable web services, and APIs

Build APIs and UIs that are simple and powerful

Help scale data infrastructure and drive data efficiency

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

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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

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

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 .

Client-provided location(s): Cupertino, CA
Job ID: apple-200628630-0836_rxr-658
Employment Type: OTHER
Posted: 2025-11-10T19:06:40

Perks and Benefits

  • Health and Wellness

    • Parental Benefits

      • Work Flexibility

        • Office Life and Perks

          • Vacation and Time Off

            • Financial and Retirement

              • Professional Development

                • Diversity and Inclusion

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