Health AIML Senior Research Scientist

Apple·Cupertino, California, United States·posted 4d ago · last seen 24m ago

Track this application

Get Started Free

Match score against your CV

Get Started Free

Tailor your resume to this job

Get Started Free

About interviewing at Apple

One of tech's least standardized loops: you interview for a specific team, and every stage belongs to it. Recruiter/hiring-manager screen, one to three 45–60 minute Coderpad coding screens, a system design round shaped by Apple's reliability and privacy constraints, and a behavioral round — then a panel debrief. There is no central question bank; questions map to the team's real stack.

Read the full Apple interview process →

Description

Summary

The Health AIML 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 and machine learning engineers focused on delivering innovative and impactful technologies for users. We are looking for a senior researcher passionate about solving real-world problems in the health domain that make a difference in our customers' lives.

Description

In this role, you will use your skills and experience in state-of-the-art generative models to design, implement and evaluate novel user experiences that impact our customers’ health. The successful candidate should possess excellent communication skills and ability to work cross-functionally to translate research at the intersection of Health and Machine Learning into impactful features.

Minimum Qualifications

Minimum of 10 years of experience in healthcare AI/ML with demonstrated expertise in deep learning, large language models (LLMs), or foundation models in the healthcare domain. Track record in clinical-grade AI research in Health science Knowledge in clinical informatics, computational biology, and medicine highly preferred Strong background in large language models and generative models, with hands on implementation experience across pipelines, tools and technology stack Experience in conversational systems, retrieval augmented generation or related fields Ph.D. or M.S in Clinical informatics, Computational Biology, Biostatistics, Computer Science, Machine Learning, Mathematics or related fields or an equivalent qualification obtained through other avenues

Preferred Qualifications

Ability to thrive in fast-paced environment, deal with uncertainty, and adapt to new and changing requirements Proven track record of contributing to diverse teams in a collaborative environment A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills

More engineering roles at Apple