Full-Stack Software Engineer at Apple

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

12 May, 26

Salary

0.0

Posted On

11 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, Flask, Django, React, JavaScript, TypeScript, REST APIs, SQL, NoSQL, Machine Learning Infrastructure, Data Systems, Web Interfaces, Software Development, Data Visualization, MLOps

Industry

Computers and Electronics Manufacturing

Description

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

Responsibilities

The engineer will bridge the gap between complex machine learning infrastructure and intuitive user experiences by developing tools that enable researchers to interact with, visualize, and optimize multimodal training at scale. This involves working across the stack to transform complex ML workflows into reliable, approachable software.