Large Language Model Machine Learning Engineer

Apple's VCV-Science Model Optimization and Algorithms Development team is seeking a talented Machine Learning Engineer to join their innovative AI research division. This role offers an exciting opportunity to work with world-class talents in visualization, LLM training, and on-device optimization.

As a Large Language Model Machine Learning Engineer, you'll be at the forefront of developing groundbreaking AI infrastructures that power Apple's in-house ML experts' daily operations. You'll be part of a collaborative group working on neural network optimization, on-device inference, and model evaluation.

The position offers a competitive base salary range of $135,400 to $250,600, complemented by comprehensive benefits including medical coverage, retirement plans, and stock programs. This is an excellent opportunity for candidates with 3+ years of experience in ML/AI, particularly those with expertise in LLMs and neural network optimization.

The role requires strong Python programming skills and experience with large language models or computer vision models. You'll be responsible for developing scalable web services, optimizing ML pipelines, and creating efficient developer workflows. The ideal candidate should have a proven track record in applied research and the ability to drive scientific investigations.

Working at Apple means joining a company committed to pushing the boundaries of AI technology while maintaining a strong focus on product impact. You'll have the opportunity to work on projects that directly influence Apple's AI capabilities and contribute to products used by millions of people worldwide.

The position is based in Seattle, offering the chance to work in one of the major tech hubs while collaborating with talented professionals across Apple's global teams. You'll be part of a diverse and inclusive workplace that values innovation, collaboration, and technical excellence.

This role is perfect for someone who is passionate about AI research, enjoys solving complex technical challenges, and wants to make a significant impact in the field of machine learning while working on products that reach a global audience.