Machine Learning Scientist - HSI

at  Apple

Cupertino, California, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate15 Aug, 2024USD 256500 Annual16 May, 20245 year(s) or aboveHadoop,Learning,Statistics,Python,Programming Languages,Spark,Learning Techniques,Sql,Machine LearningNoNo
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Description:

SUMMARY

Posted: Apr 2, 2024
Weekly Hours: 40
Role Number:200540320
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

Responsibilities:

Please refer the Job description for details


REQUIREMENT SUMMARY

Min:5.0Max:10.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Phd

Proficient

1

Cupertino, CA, USA