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Sr. Software Engineer, Siri Speech

Apple

Salary not specified
Nov 9, 2025
Cupertino, CA, US
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The Siri Speech Platform team is building the platform and tools that enable us to deliver Siri’s state-of-the-art speech technology. We're seeking a Senior Software Engineer who is passionate about scalable systems, ML and delivering voice experiences to millions of users worldwide.

Requirements

  • 5+ years professional experience building large scale customer facing products
  • Design and build scalable data processing platforms & pipelines.
  • Build developer-focused tools & automation that accelerate technology & innovation cycles.
  • Solid experience using best practices when working with REST APIs. Experience integrating with external APIs and HTTP requests: GET/POST calls, pagination, error handling, asynchronous requests, load handling
  • Experience with building solutions in the cloud (AWS, GCP, Kubernetes, etc)
  • Experience with relational and NoSQL databases (MongoDB, Cassandra, etc)
  • Able to quickly learn new and existing technologies

Responsibilities

  • Design and build scalable data processing platforms that power Siri's core capabilities
  • Develop tools and automation that accelerate innovation across research and production teams
  • Collaborate with ML researchers, backend engineers and product teams to deliver voice experiences to millions of users
  • Drive architectural decisions across the stack, from data ingestion to model deployment
  • Engage with internal stakeholders to understand requirements and shape the roadmap
  • Design and build scalable data processing platforms & pipelines.
  • Build developer-focused tools & automation that accelerate technology & innovation cycles.

Other

  • We're looking for someone who combines strong technical skills with excellent communication, system design thinking, and a passion for building reliable, high-performance infrastructure.
  • BS, MS in Computer Science, Computer Engineering, or equivalent degree with applicable experience
  • Experience with ML lifecycle - from data ingestion to model deployment
  • Experience supporting ML model training, data generation and evaluation tools
  • Excellent problem solving and analytical thinking skills