Full-Stack Software Engineer

At Apple, great ideas grow when diverse perspectives come together. Every product, service, and experience we create is built by people who care deeply about quality, collaboration, and learning. When we bring everybody in, we do the best work of our lives and here, you'll do more than join something. You'll add something.

We are looking for a Full-Stack Software Engineer to join the VEDI ML Tools & Workflows team. This role is ideal for engineers early in their career who are excited to work at the intersection of machine learning infrastructure, data systems, and intuitive developer-facing tools.

You'll help build and evolve internal platforms that support large-scale AI training and evaluations from backend services and APIs to modern web interfaces used by ML researchers and engineers every day.

Description

As a Full Stack Engineer, you will bridge the gap between complex machine learning infrastructure and intuitive user experiences, developing the tools that allow researchers to interact with, visualize, and optimize multimodal training at scale. You'll work across the stack to turn complex ML workflows into approachable, reliable software.","responsibilities":"Build full-stack tools using Python (FastAPI / Flask / Django) and modern React to support ML workflows and internal platforms

Develop backend services and APIs that orchestrate data flows, training jobs, and evaluation pipelines

Create clear, usable web interfaces for monitoring model performance, dataset status, and experiment results

Collaborate closely with ML researchers, data engineers, and designers to translate real needs into production-quality tools

Contribute to scalable systems handling large datasets (text, image, audio, video) in distributed environments

Write clean, maintainable code and participate in thoughtful code reviews across the stack

Learn and grow with mentorship, design reviews, and exposure to production ML systems at scale

Preferred Qualifications

Master's degree in Computer Science, Software Engineering, or related field

Experience using AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT, internal tools) for tasks like: Prototyping and iterating on ideas, Improving test coverage, Debugging and refactoring code, Learning new frameworks or domains

Understanding of software engineering best practices (testing, version control, code reviews)

Exposure to machine learning concepts or libraries (e.g., PyTorch)

Experience with Docker, Kubernetes, or CI/CD pipelines

Interest in data visualization or dashboard development

Familiarity with distributed systems, data pipelines, or MLOps concepts

Experience with 3D or advanced visualization (Three.js, WebGL, etc.)

Strong communication skills and comfortable working in a collaborative, cross-functional team

Minimum Qualifications

Bachelor's degree in Computer Science, Software Engineering, or related field and 3+ years of relevant industry experience (or equivalent practical experience)

Experience building web applications using Python and a modern backend framework (FastAPI, Flask, or Django)