Machine Learning Engineer

Who you are

You have a strong background in machine learning and deep learning, with experience in designing and developing models that enhance natural voice interactions. Your expertise in NLP and big data allows you to create innovative solutions that improve user experiences. You thrive in collaborative environments, working closely with software engineering and data science teams to integrate machine learning solutions into production workflows.

You are passionate about advancing human-computer interaction and are eager to explore new approaches in the field. Your ability to fine-tune deep learning systems for speaker recognition and multimodal understanding sets you apart. You understand the importance of building production-quality models that can handle large-scale systems and are committed to delivering high-quality results.

What you'll do

As a Machine Learning Engineer on the Siri Speech team, you will drive research and development efforts focused on natural voice interaction. You will design, develop, and implement machine learning models across various applications, including speech and multimodal systems. Your role will involve collaborating with cross-functional teams to integrate machine learning solutions into existing workflows, ensuring seamless user experiences.

You will investigate new approaches to enhance voice interaction capabilities, fine-tuning deep learning models to achieve optimal performance. Your contributions will directly impact the technology that powers millions of voice experiences, making a significant difference in how users interact with Apple products.

What we offer

At Apple, you will be part of a diverse and inclusive team that values creativity and innovation. We provide opportunities for professional growth and development, allowing you to expand your skills and expertise in machine learning and AI. Join us in shaping the future of human-computer interaction and making a positive impact on users worldwide.