Machine Learning Data Scientist – Health Incubation
Apple
Machine Learning Data Scientist – Health Incubation
Job Description
"I believe, if you zoom out into the future, and you look back, and you ask the question, 'What was Apple’s greatest contribution to mankind?' It will be about health.” – Tim Cook, 2019 Would you like to be a critical part of an engineering team building next-generation features to improve health using sensing technologies? The Health Incubation team builds outstanding technologies to support our users in living their healthiest, happiest lives by providing them with objective, accurate, and timely information about their health and well-being! As part of the larger Sensor SW & Prototyping team, we take a multimodal approach to health sensing, using a variety of sensors across HW platforms, such as camera, PPG, inertial motion, temperature. In this role, you will be applying your in-depth knowledge of AI/ML, algorithms, data science, statistical analysis, and human physiology to explore novel feature concepts and build algorithms and ML models to support them. You will be working with other ML Scientists, Data/Integrity Engineers, Health Studies, Hardware, Clinical, and Regulatory teams to define specifications, develop instrumentation and experiments to analyze large datasets and assist with ML development, and perform failure analysis.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- in-depth knowledge of AI/MLintermediate
- algorithmsintermediate
- data scienceintermediate
- statistical analysisintermediate
- knowledge of human physiologyintermediate
- ML model developmentintermediate
- defining specificationsintermediate
- developing instrumentation and experimentsintermediate
- analyzing large datasetsintermediate
- ML developmentintermediate
- failure analysisintermediate
Required Qualifications
- Masters in BME/CS/CE/EECS/Math/Physics or equivalent experience (experience)
- Experience with algorithms, statistical analysis, signal processing, and scientific reasoning (experience)
- Experience creating algorithms pipelines and analyzing human signals data (experience)
- Experiences designing and analyzing human research studies (experience)
Preferred Qualifications
- Ph.D in BME/CS/CE/EECS/Math/Physics or equivalent experience (experience)
- Experience with machine learning techniques and tools (experience)
- Experience with large-scale data solutions with distributed data processing frameworks (e.g. MapReduce, Spark) (experience)
- Experience with failure analysis and root cause analysis techniques such as hypothesis testing and experiment design (experience)
- Experience in designing specifications, requirements and evaluation (experience)
- Excellent communication skills, comfortable in a collaborative and innovative development environment (experience)
Responsibilities
- In this role, you will be applying your in-depth knowledge of AI/ML, algorithms, data science, statistical analysis, and human physiology to explore novel feature concepts and build algorithms and ML models to support them. You will be working with other ML Scientists, Data/Integrity Engineers, Health Studies, Hardware, Clinical, and Regulatory teams to define specifications, develop instrumentation and experiments to analyze large datasets and assist with ML development, and perform failure analysis.
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Machine Learning Data Scientist – Health Incubation
Apple
Machine Learning Data Scientist – Health Incubation
Job Description
"I believe, if you zoom out into the future, and you look back, and you ask the question, 'What was Apple’s greatest contribution to mankind?' It will be about health.” – Tim Cook, 2019 Would you like to be a critical part of an engineering team building next-generation features to improve health using sensing technologies? The Health Incubation team builds outstanding technologies to support our users in living their healthiest, happiest lives by providing them with objective, accurate, and timely information about their health and well-being! As part of the larger Sensor SW & Prototyping team, we take a multimodal approach to health sensing, using a variety of sensors across HW platforms, such as camera, PPG, inertial motion, temperature. In this role, you will be applying your in-depth knowledge of AI/ML, algorithms, data science, statistical analysis, and human physiology to explore novel feature concepts and build algorithms and ML models to support them. You will be working with other ML Scientists, Data/Integrity Engineers, Health Studies, Hardware, Clinical, and Regulatory teams to define specifications, develop instrumentation and experiments to analyze large datasets and assist with ML development, and perform failure analysis.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- in-depth knowledge of AI/MLintermediate
- algorithmsintermediate
- data scienceintermediate
- statistical analysisintermediate
- knowledge of human physiologyintermediate
- ML model developmentintermediate
- defining specificationsintermediate
- developing instrumentation and experimentsintermediate
- analyzing large datasetsintermediate
- ML developmentintermediate
- failure analysisintermediate
Required Qualifications
- Masters in BME/CS/CE/EECS/Math/Physics or equivalent experience (experience)
- Experience with algorithms, statistical analysis, signal processing, and scientific reasoning (experience)
- Experience creating algorithms pipelines and analyzing human signals data (experience)
- Experiences designing and analyzing human research studies (experience)
Preferred Qualifications
- Ph.D in BME/CS/CE/EECS/Math/Physics or equivalent experience (experience)
- Experience with machine learning techniques and tools (experience)
- Experience with large-scale data solutions with distributed data processing frameworks (e.g. MapReduce, Spark) (experience)
- Experience with failure analysis and root cause analysis techniques such as hypothesis testing and experiment design (experience)
- Experience in designing specifications, requirements and evaluation (experience)
- Excellent communication skills, comfortable in a collaborative and innovative development environment (experience)
Responsibilities
- In this role, you will be applying your in-depth knowledge of AI/ML, algorithms, data science, statistical analysis, and human physiology to explore novel feature concepts and build algorithms and ML models to support them. You will be working with other ML Scientists, Data/Integrity Engineers, Health Studies, Hardware, Clinical, and Regulatory teams to define specifications, develop instrumentation and experiments to analyze large datasets and assist with ML development, and perform failure analysis.
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Data Scientist – Health Incubation @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs