Machine Learning Engineer • Senior

Who you are

You have over 10 years of overall software development experience, with at least 5 years of hands-on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets. Your strong background in generative models, natural language processing, and large language models sets you apart in the field. You are proficient in working with large-scale models using modern machine learning packages such as TensorFlow, PyTorch, Jax, and Hugging Face. Your experience in leading a team and collaborating across functions to deliver customer-facing features in production is a key asset. You hold an MS or Ph.D. in Computer Science, Machine Learning, or related fields.

What you'll do

In this role, you will leverage your expertise in machine learning and deep learning to design, implement, tune, and evaluate machine learning models and algorithms. You will tackle ambitious problems involving unique data and objectives, including state-of-the-art generative AI models and tools. Your excellent interpersonal skills will enable you to work multi-functionally, applying novel research at the intersection of health and machine learning into customer features. You will be responsible for driving innovative technologies that make a difference in customers' lives, ensuring that the solutions you develop are impactful and user-friendly.

What we offer

At Apple, you will be part of a close-knit team of accomplished research scientists, software engineers, and machine learning engineers. We foster an inclusive environment where diversity is valued, and we encourage you to apply even if your experience doesn't match every requirement. You will have the opportunity to work on cutting-edge technologies that impact millions of users, contributing to the advancement of health science through machine learning. We offer competitive compensation and benefits, along with a culture that promotes collaboration and innovation.