Senior Engineer, Machine Learning

Responsibilities

• Work with biomedical and unstandardized data from collection through to downstream tasks like clustering and classification
• Quickly prototype solutions and proof of concepts for uncharted application domains
• Communicate with domain experts and stay abreast of state-of-the-art research to develop novel algorithms
• Apply signal processing and machine learning models to develop solutions from literature or novel approaches
• Support hardware and software teams with algorithmic solutions to ensure data quality measurement and improvement

Requirements

• PhD in Electrical Engineering, Mathematics, Computer Science, or a relevant field
• Strong machine learning background
• Excellent abilities in mathematics and algorithm development
• Fundamental knowledge of modeling and quick prototyping skills
• Proficiency in Python
• Familiarity with C++ or C

Preferred Qualifications

• Real-world experience with biomedical datasets and/or time series, including pre-processing, algorithm development, and validation
• Experience in interdisciplinary team collaboration

About the Company

Analog Devices, Inc. (ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare.