Data Scientist - Health AIML

Apple•Cupertino, CA

17h

About The Position

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. We are looking for a highly technical and experienced data scientist who can work embedded with engineering to help design, execute, and analyze manual and LLM based evaluations of health AI models and agentic experiences.

Requirements

5+ years of experience in data science, machine learning, and analytics, including statistical data analysis and A/B testing.
Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.
Strong programming skills, including data-querying skills (SQL and/or Spark, etc.) and experience with a scripting language for data processing and development (e.g., Python, R, or Scala).
Excellent collaboration skills to achieve impactful results by working effectively with diverse cross-functional teams, including PMs, engineers, data scientists, and others.
B.S. in Machine Learning, Computer Science, Statistics, Operations Research or other quantitative fields.

Nice To Haves

Good understanding of large language model (LLMs), including their architecture, training methods, prompt engineering and fine-tuning for specific tasks.
Hands-on experience in applying LLMs to solve technical problems, such as data analysis, data automation, synthetic data generation, with proven ability to optimize model performance for accuracy and efficiency.
Ph.D. in machine learning, computer science, statistics, operations research or other quantitative fields.
10+ years of relevant work experience.