There is a tremendous opportunity to improve how people manage their health. Apple is looking for exceptional data scientists to help deliver amazing experiences that will address this need in meaningful ways. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. If you are a self-motivated, accountable, and upbeat individual who is not afraid of challenges, we are looking for you.
Key Qualifications Key Qualifications
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 statistics
Excellent attention to detail
As an ML Scientist, you will develop cutting-edge ML algorithms for early detection of certain diseases or disease conditions. You will collaborate with SW engineers and clinicians to implement strategies to collect clinical gold-standard and observational data from users. You will create tools to cleanse and efficiently annotate data, and you will 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 Education & Experience
Post Graduate degree required in a quantitative discipline. Ph.D is highly preferred.
Additional Requirements Additional Requirements
Proficiency in deep learning and distributed computing systems (e.g. Spark, Hadoop) a plus.