Machine Learning Engineer Health AIML

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished deeply technical research scientists software engineers and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers lives.

In this role you will use your skills and experience in software engineering machine learning deep learning and generative AI to design implement tune and evaluate machine learning models and systems. You will solve ambitious problems involving unique data and high-impact products including state-of-the-art generative AI technologies. The successful candidate should possess excellent interpersonal skills and the ability to work cross-functionally to rapidly apply engineering best practices and novel research techniques at the intersection of Health ML and consumer products.

10 years of overall software development leading a team and/or a proven track record of cross-functional collaboration to deliver customer-facing features with machine learning capabilities in in Computer Science Computer Engineering Machine Learning or related fields (or equivalent qualification).

Ph.D. in Computer Science Machine Learning or a related background in generative models natural language processing (NLP) and large language models (LLMs).n5 years of hands-on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets and/or production developing and working with large-scale models using modern machine learning packages (e.g. TensorFlow PyTorch Jax Huggingface).nProficiency in building and troubleshooting modern agentic systems (prompt tuning routing planning multi-agent RAG tool use memory management etc.).nExperience with healthcare data products and to thrive in a fast-paced environment deal with uncertainty and adapt to new and changing track record of contributing to diverse teams in a collaborative passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills.