AIML - Machine Learning Engineer, Batch processing team

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

Do you want to make Siri and Apple products smarter for our users? The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup.

As part of this group, you will develop the systems we use to evaluate the quality of our AI models and products. You'll help us leverage a combination of human and automated methods to accelerate robust iteration and development of new models and product features.

Description

We design and build infrastructures to support features that empowers billions of Apple users. As part of this group, you will develop the systems we use to evaluate the quality of our AI models and products. You'll help us leverage a combination of human and automated methods to accelerate robust iteration and development of new models and product features. You will have opportunities to work cross functional with MLE, DS, Infra and others.

Preferred Qualifications

Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes

Minimum Qualifications

BS in a relevant field or equivalent experience

Strong coding skills

Strong background in computer science, algorithms, data structures and analytics.

Fast learner, have a voracious and intrinsic desire to learn and fill in missing skills.

Excellent interpersonal skills able to work independently as well as in a 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 .