Machine Learning Engineer - Health Strategic Initiative
Cupertino, California, United States
Machine Learning and AI
Our team helps shape the development of health initiatives at Apple that involve iPhone and Apple Watch. You’ll work on a tight-knit team of professionals alongside industry experts and premier technologists to reimagine how people manage their health and wellness. As a Machine Learning Scientist, you will develop cutting-edge ML algorithms for early detection of certain diseases or disease conditions.
Key Qualifications
- 5+ years of proven experience in the industry
- Expertise with machine-learning techniques, including both supervised and unsupervised learning techniques
- Knowledge of programming languages like SQL, Python and R.
- Experience with big data technologies such as Hadoop and Spark
- Strong grounding in statistical methods, especially multivariate analysis
Description
As an ML Scientist, you will collaborate with software engineers and clinicians to implement strategies to collect clinical gold-standard and observational data from users. You will build tools to cleanse and efficiently annotate data, and analyze large-scale data sets to detect features that best capture the desired relationship between observation and outcome. Finally, you will design and develop ML models with the goal of deploying these models onto the mobile device.
Education & Experience
PhD in machine learning or other equivalent field
Additional Requirements
- - Strong grounding in statistics
- - Excellent attention to detail