Machine Learning Engineer

Apple is seeking a highly skilled Machine Learning Engineer to join their Special Projects team to develop novel user-facing conversational features leveraging multimodal foundation models. The role focuses on building evaluation processes for these experiences, requiring expertise in assessing complex foundation model systems end-to-end, converting product requirements into measurable criteria, and applying strong statistical analysis skills.

The position offers an opportunity to work at the forefront of AI technology, specifically with state-of-the-art foundation models, while collaborating with ML Researchers to define and implement systematic evaluation methodologies. The ideal candidate will have a strong technical background with at least 2 years of hands-on industry experience in product-focused statistical analysis for generative models.

The compensation package includes a competitive base salary range of $181,100 to $318,400, plus additional benefits such as stock options, comprehensive medical coverage, and education reimbursement. Apple's commitment to innovation and collaborative work environment makes this an excellent opportunity for someone passionate about advancing conversational AI technology.

The role requires a Master's degree in Computer Science or related STEM field, proficiency in Python and ML frameworks, and strong analytical skills. Preferred qualifications include a PhD, 5+ years of industry experience, and a track record of publications in Machine Learning conferences. The position is based in Cupertino, California, working with Apple's Software and Services division.