Staff Machine Learning Engineer, Tools and Framework AI
Apple · Cupertino, California, United States
Computers and Electronics Manufacturing · 10,001+ employees
About the role
You will architect and build machine learning systems that push the boundaries of software development from initial design through production deployment. You will also collaborate with cross-functional teams to translate ambitious ideas into robust, shipping solutions while mentoring other engineers.
What they look for
Requirements
Candidates must have at least 8 years of hands-on experience in software engineering with a focus on machine learning and expert knowledge in modeling. A Master's or PhD in Computer Science, Machine Learning Engineering, or equivalent professional experience is required.
Full description
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.
On the Tools and Frameworks AI team, you'll work on projects that push the boundaries of what's possible with AI. We're solving problems at the frontier of the field, building tools and capabilities, and figuring out what the next generation of software development looks like. We take these innovations from concept to production, ensuring our work delivers real impact at scale. You'll see your contributions move from early explorations to production systems that users depend on daily.
Description
We're looking for a Staff ML Engineer who can drive AI-powered software development from initial design through production deployment. You'll architect and build machine learning systems that push the boundaries of what's possible in software development, writing production-quality code that scales to meet real-world demands. This role requires both deep technical expertise and strong collaboration skills—you'll work closely with product managers, software engineers, and researchers across the organization to translate ambitious ideas into robust, shipping solutions. You'll be responsible for making critical design decisions, mentoring other engineers, and ensuring our exploratory work successfully transitions into production systems that deliver measurable impact.
Minimum Qualifications
At least 8 years of hands-on experience in software engineering, with focus on machine learning Demonstrated expert knowledge of machine learning modeling and applied machine learning research Strong programming skills in: Python, Java, C++ or Swift Track record of delivering high quality products and solving complex problems in innovative ways Thrive in a collaborative environment and communicate clearly and confidently with partner teams Masters OR PhD in Computer Science, Machine Learning Engineering or equivalent professional experience
Preferred Qualifications
Hands-on experience working on developer productivity AI tools Full-stack software developer experience with experience building ML infra at scale Experience leading AI/ML projects
