A
Senior Full Stack Software Development Engineer - AI, Search & Knowledge
Apple
- Location
- Onsite (Seattle, Washington)
- Employment
- Full-time
- Level
- Senior Level
Posted 3 weeks ago
About the Role
Join Apple's AI, Search & Knowledge team to build internal systems that empower ML practitioners. You will develop full-stack applications for ML model and dataset management, enhancing productivity for teams building AI-driven experiences.
Skills
TypeScript
React
Tailwind CSS
Go
Python
REST
gRPC
GraphQL
AWS
GCP
Azure
Kubernetes
Full Stack Development
ML Model Management
Data Visualization
UX Design
Full job details
Join us in building the AI, Search & Knowledge (ASK) platform that enables teams at Apple to build Apple Intelligence and many other intelligent experiences across hardware, software and service products.
We are looking for a senior full-stack software engineer who is passionate about building tooling that makes ML practitioners more productive. You will contribute to the development of Apple-internal systems for ML Model Management, ML Dataset Management, and Model Serving, working closely with design, infrastructure, and ML engineering teams to deliver polished, clean interfaces that simplify complex workflows.
We're looking for a versatile engineer who thrives at the intersection of platform engineering, ML systems, and developer experience. Your work will enable teams building Apple Intelligence and other AI-driven experiences to focus on innovation rather than infrastructure complexity.
In this role, you will design, build, and maintain full-stack applications that give ML teams visibility and control over their models, datasets, and serving infrastructure. The work spans both frontend (rich, interactive UIs for managing and exploring ML assets, managing deployments) and backend (APIs, data pipelines, integrations with platform services). Day to day, that means collaborating closely with design to craft intuitive experiences for data-intensive workflows, partnering with backend teams to build and surface the right abstractions, and working directly with ML engineers to deeply understand their pain points. The team values rapid iteration: prototype, ship, learn, and maintain high standards for quality, reliability, performance, and usability at scale.
Bachelor's degree in Computer Science, related field, or equivalent practical experience 7+ years of software engineering experience spanning frontend and backend systems Deep proficiency in modern frontend frameworks (TypeScript, React) and modern CSS (e.g. Tailwind) Track record shipping data-intensive UIs with complex state, real-time updates, and large-scale data visualization Strong design and UX craft; ability to translate ambiguous requirements into polished, intuitive interfaces Production Go or Python service development Experience designing and consuming REST, gRPC, or GraphQL APIs Experience with loud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes) History of high-impact projects through cross-functional partnership with product, design, and infrastructure teams Clear and communicator who can navigate architectural tradeoffs and drive alignment across teams
Experience building ML platforms and familiarity with ML workflows (data preparation, training, evaluation, inference) and the developer experience challenges they present Experience building platform UIs that serve thousands of internal users with high reliability expectations
Description
In this role, you will design, build, and maintain full-stack applications that give ML teams visibility and control over their models, datasets, and serving infrastructure. The work spans both frontend (rich, interactive UIs for managing and exploring ML assets, managing deployments) and backend (APIs, data pipelines, integrations with platform services). Day to day, that means collaborating closely with design to craft intuitive experiences for data-intensive workflows, partnering with backend teams to build and surface the right abstractions, and working directly with ML engineers to deeply understand their pain points. The team values rapid iteration: prototype, ship, learn, and maintain high standards for quality, reliability, performance, and usability at scale.
Minimum Qualifications
Bachelor's degree in Computer Science, related field, or equivalent practical experience 7+ years of software engineering experience spanning frontend and backend systems Deep proficiency in modern frontend frameworks (TypeScript, React) and modern CSS (e.g. Tailwind) Track record shipping data-intensive UIs with complex state, real-time updates, and large-scale data visualization Strong design and UX craft; ability to translate ambiguous requirements into polished, intuitive interfaces Production Go or Python service development Experience designing and consuming REST, gRPC, or GraphQL APIs Experience with loud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes) History of high-impact projects through cross-functional partnership with product, design, and infrastructure teams Clear and communicator who can navigate architectural tradeoffs and drive alignment across teams
Preferred Qualifications
Experience building ML platforms and familiarity with ML workflows (data preparation, training, evaluation, inference) and the developer experience challenges they present Experience building platform UIs that serve thousands of internal users with high reliability expectations
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