Analog Devices
SeniorEngineer,MachineLearning
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Engineer, Machine Learning at Analog Devices. Skills: Machine learning, Algorithm development. Work with biomedical data. Work with unstandardized data”
Industry & Context.
Solution-oriented
10% travel
What They're Looking For.
Must Have
PhD in Electrical Engineering, PhD in Mathematics, PhD in Computer Science, machine learning background, Excellent abilities in mathematics, Excellent abilities in algorithm development, Fundamental knowledge of modeling, quick prototyping skills, Proficiency in Python
Nice to Have
Interdisciplinary team collaboration experience
What You'll Do.
Work with biomedical data
Work with unstandardized data
Develop novel algorithms
Apply signal processing
Apply machine learning models
Support hardware teams
Support software teams
How You'll Work.
Team & Collaboration
Interdisciplinary team collaboration
Full Job Description
**About Analog Devices** Analog Devices, Inc. (NASDAQ: _[ADI](http://finance.yahoo.com/q?s=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, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at _[www.analog.com](https://www.analog.com/)_ and on _[LinkedIn](https://www.linkedin.com/company/analog-devices/posts/?feedView=all)_ and _[Twitter (X)](https://x.com/adi_news)_. (Job 1 - Algorithmic Research Scientist in Machine Learning (PhD)) We are seeking a recent college graduate (PhD) with a background in machine learning to join our dynamic startup-like environment and be an individual contributor. In this position we are asking for both the interest to dig deep and have the breadth. The ideal candidate should bring real-world experience with biomedical datasets and/or time series, including pre-processing, algorithm development, and validation, while being solution-oriented, capable of working with multiple modalities, and eager to tackle uncharted areas. **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. * If potential is identified, communicate with domain experts and stay abreast of the state of the art to develop novel algorithms that provide a market edge. * 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 s
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