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.
- Masters in BME/CS/CE/EECS/Math/Physics or equivalent experience
- Experience with algorithms statistical analysis signal processing and scientific reasoning
- Experience creating algorithms pipelines and analyzing human signals data
- Experiences designing and analyzing human research studies
- Ph.D in BME/CS/CE/EECS/Math/Physics or equivalent experience
- Experience with machine learning techniques and tools
- Experience with large-scale data solutions with distributed data processing frameworks (e.g. MapReduce Spark)
- Experience with failure analysis and root cause analysis techniques such as hypothesis testing and experiment design
- Experience in designing specifications requirements and evaluation
- Excellent communication skills comfortable in a collaborative and innovative development environment
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 Stud...
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.
- Masters in BME/CS/CE/EECS/Math/Physics or equivalent experience
- Experience with algorithms statistical analysis signal processing and scientific reasoning
- Experience creating algorithms pipelines and analyzing human signals data
- Experiences designing and analyzing human research studies
- Ph.D in BME/CS/CE/EECS/Math/Physics or equivalent experience
- Experience with machine learning techniques and tools
- Experience with large-scale data solutions with distributed data processing frameworks (e.g. MapReduce Spark)
- Experience with failure analysis and root cause analysis techniques such as hypothesis testing and experiment design
- Experience in designing specifications requirements and evaluation
- Excellent communication skills comfortable in a collaborative and innovative development environment
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