Analog Devices is seeking an Algorithmic Research Scientist in Machine Learning to drive advancements in digitized factories, mobility, and digital healthcare, and combat climate change by developing novel algorithms and solutions using machine learning and signal processing.
Requirements
- 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++, C.
- PhD in Electrical Engineering, Mathematics, Computer Science or a relevant field
Responsibilities
- Work with biomedical, unstandardized data from collection to downstream tasks (clustering/classification).
- Quickly prototype solutions and proof of concepts for uncharted application domains where solutions might exist in the literature.
- Apply strong understanding of signal processing and machine learning models to develop solutions from literature or novel approaches to meet performance measures.
- Support hardware and software teams with algorithmic solutions to ensure data quality measurement, comparison, and improvement.
- Communicate with domain experts and stay abreast of the state of the art to develop novel algorithms that provide a market edge.
Other
- PhD in Electrical Engineering, Mathematics, Computer Science or a relevant field
- Interdisciplinary team collaboration experience is preferred.
- Required Travel: Yes, 10% of the time
- US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) may have to go through an export licensing review process
- EEO is the Law: Notice of Applicant Rights Under the Law
