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Job Description
Role Number: 200643395-3956
Summary
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.
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)
Experience with React and modern JavaScript/TypeScript concepts
Familiarity with REST APIs, databases (SQL or NoSQL), and data-driven applications
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
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
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