Senior Engineer, Machine Learning
Role details
Job location
Tech stack
Job description
- 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 software teams with algorithmic solutions to ensure data quality measurement, comparison, and improvement.
Requirements
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., * 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++, C.
- Interdisciplinary team collaboration experience is preferred.
Benefits & conditions
Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
EEO is the Law: Notice of Applicant Rights Under the Law . Job Req Type: Experienced
Required Travel: Yes, 10% of the time
Shift Type: 1st Shift/Days
The expected wage range for a new hire into this position is $144,000 to $198,000.
- Actual wage offered may vary depending on work location , experience, education, training, external market data, internal pay equity, or other bona fide factors.
- This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
- This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.