Health ML Engineer Scholar - Digital Health Residency

Samsung Electronics GmbH; Mountain View (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

A leading technology company is seeking a Health Applied Scholar/Engineer for a 12-month residency program in Mountain View, CA. The role focuses on leveraging machine learning techniques to address health-related challenges. Ideal candidates will have a PhD or postdoctoral experience in relevant fields and be proficient in machine learning algorithms. Competitive hourly pay rate ranges from $44 to $63, along with comprehensive benefits.

Qualifications

• Pursuing PhD (near completion) or postdoctoral experience.
• Strong expertise in machine learning techniques.
• Demonstrated ability to work collaboratively.
• Proficiency with machine learning frameworks.
• Knowledge of data processing tools.

Responsibilities

• Design and optimize machine learning models.
• Implement various algorithms for health applications.
• Collect, clean, and preprocess datasets.
• Debug and optimize models using cloud services.
• Collaborate to understand business requirements.
• Contribute to novel ML algorithm development.
• Engage in team discussions.

Skills

Machine learning techniques

Algorithms for recommendation systems

Collaborative team skills

Problem-solving skills

Attention to detail

Effective communication

Education

PhD or postdoctoral experience in Computer Science, Machine Learning, or Data Science

Tools

Python

R

Java

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

AWS

Google Cloud

Azure

Job description

A leading technology company is seeking a Health Applied Scholar/Engineer for a 12-month residency program in Mountain View, CA. The role focuses on leveraging machine learning techniques to address health-related challenges. Ideal candidates will have a PhD or postdoctoral experience in relevant fields and be proficient in machine learning algorithms. Competitive hourly pay rate ranges from $44 to $63, along with comprehensive benefits.