Senior Full Stack Software Development Engineer - AI, Search & Knowledge

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

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

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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.