Machine Learning Engineer, Applied Machine Learning

Join Apple's Applied Machine Learning (AML) Data Science team as a Machine Learning Engineer, where you'll work on groundbreaking technologies that make real-world impact. This role combines software engineering expertise with machine learning deployment, focusing on operationalizing and productionalizing ML solutions that serve various business lines and enhance user experiences.

As an ML Engineer, you'll be responsible for building and deploying machine learning models into scalable web applications and backend services. The role requires strong Python programming skills, experience with backend development, and the ability to work effectively in cross-functional teams. You'll collaborate closely with ML scientists and other partners to bring models into production environments.

The position offers an exciting opportunity to work with large-scale datasets and create data-driven applications that directly impact user experiences. You'll be part of a diverse team of innovative ML scientists and engineers with extensive experience in both academia and industry. The role provides competitive compensation, including a base salary range of $143,100 to $264,200, plus additional benefits such as stock options, comprehensive healthcare, and education reimbursement.

This is an ideal opportunity for a creative problem solver with a solid technical background who wants to make a significant impact in the industry. You'll work on dynamic projects that shape the technology landscape, leveraging your expertise to deploy pioneering models and algorithms in various enterprise scenarios. The role offers growth potential and the chance to work on cutting-edge ML applications while contributing to Apple's innovative technology solutions.

If you have frontend development experience with ReactJS or similar frameworks, you'll have additional opportunities to shape the user interface of ML-driven applications. The position requires minimum 2 years of industry experience, with preferred qualifications including 5+ years of experience and an advanced degree in Computer Science or related field.