Full-Stack Software Engineer

Apple • San Diego, CA

3d

About The Position

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.

Requirements

• 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)
• Experience with React and modern JavaScript/TypeScript concepts
• Familiarity with REST APIs, databases (SQL or NoSQL), and data-driven applications
• Understanding of software engineering best practices (testing, version control, code reviews)

Nice To Haves

• 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
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees