Our team of applied ML scientists and engineers works to enhance the experience and productivity of software developers at Apple and in the Apple developer ecosystem. Our team trains state-of-the-art ML models and applies them in products to solve real-world problems. 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 enhance the software development experience at Apple and within the Apple developer ecosystem. We are a team of applied scientists, infrastructure engineers, and machine learning engineers (like you) who are immersed in the rapidly advancing field of ML, and Natural Language Processing in particular. In this role, you will be responsible for engineering solutions to support model training, such as building data processing pipelines, data generation engines, model evaluation infrastructure, and model inference systems. You will also be involved in directly integrating ML into products. You will need to rely on your creativity and problem solving to develop scalable, maintainable, and cost-effective solutions. You will be successful and feel fulfilled in our team if you enjoy tackling challenging problems, have a strong sense of shared ownership, and thrive in a collaborative team setting.

MINIMUM QUALIFICATIONS

• 5+ years industry experience as a Machine Learning Engineer or Software Engineer, working on advancing the state of the art of machine learning, and deploying large-scale distributed systems.
• Strong understanding in ML, deep learning, natural language understanding, distributed systems, reliability, and cloud services.
• Strong hands-on experience in building large scale ML based solutions or in building and scaling distributed systems.
• MS in Computer Science or related experience.

PREFERRED QUALIFICATIONS

• Practical experience with applied Natural Language Processing.

Please refer the Job description for details