Machine Learning Engineer - Large Language Models & Generative AI

Apple - Cupertino, CA

Full-time - Mid Level

Cupertino, CA

Computer and Electronic Product Manufacturing

About the position

The Machine Learning Engineer for Large Language Models & Generative AI will be a key player in the Intelligence Platform team at Apple, focusing on the application of advanced machine learning technologies to enhance user experiences across various services such as Siri, Photos, and Music. This role involves translating cutting-edge research into practical applications, leading innovation within the team, and contributing to the development of high-quality AI solutions.

Responsibilities

• Lead the exploration and application of Large Language Models and Generative AI.
• Translate the latest research into high-performing systems and models for user experience enhancement.
• Set the team's strategic direction and foster an environment of innovation and professional growth.
• Engage in all aspects of model development, from ideation and experimentation to deployment.
• Collaborate with various teams to develop and implement Machine Learning solutions, ensuring performance optimization.

Requirements

• An advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• In-depth experience in Machine Learning, particularly with Large Language Models (LLMs) and Generative AI.
• Published research in Machine Learning or AI, demonstrating the ability to contribute to cutting-edge research.
• Proven ability to comprehend, interpret, and apply cutting-edge research into tangible applications.

Nice-to-haves

• Ongoing professional development in Machine Learning and Artificial Intelligence domains.
• Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models.
• Proven problem-solving and leadership abilities in a collaborative and fast-paced environment.

Benefits

• Health insurance coverage
• 401k retirement savings plan
• Paid holidays
• Professional development opportunities
• Flexible scheduling options