Machine Learning Engineer - Tools & Frameworks AI

Our team of applied ML scientists and engineers works to enhance the experience and productivity of software development at Apple. Our team applies state-of-the-art ML models to solve real-world problems in software quality and development workflows. We're looking for talented and enthusiastic team members to join us in our efforts. If this sounds like you, we have many challenging and interesting problems to work on together and would love to talk to you!

Description

Our team designs and builds ML solutions to transform how Apple and developers in the ecosystem approach developing quality software at scale. We are a team of applied scientists, infrastructure engineers, and machine learning engineers who work with NLP, computer vision, and multimodal domains to create AI-powered testing solutions.

In this role, you will be responsible for bringing ML ideas to life within Apple's ecosystem. You'll prototype and refine ML techniques, adapting them to work effectively on Apple platforms and within Apple's technical constraints. You'll develop creative approaches to collecting evaluation and training data. And you will serve as a crucial bridge between research ideas and production reality. Your ability to spot potential pitfalls in data collection, on-device model deployment, and integration will be an invaluable addition to the team.

You will be successful and feel fulfilled in our team if you enjoy turning ideas into working code, have a practical mindset about what it takes to ship ML systems, and thrive in a collaborative environment where you learn from senior teammates while contributing your own insights.","responsibilities":"Implement and refine ML solutions, adapting them for Apple's ecosystem and technical requirements

Rapidly prototype multiple algorithmic approaches to identify the most promising directions

Design and implement creative data collection strategies for training and evaluation datasets