Senior Engineer, Machine Learning

About Analog Devices

Analog Devices, Inc. (NASDAQ: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 atwww.analog.com and onLinkedIn andTwitter (X).

          

Job Description:

(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 software teams with algorithmic solutions to ensure data quality measurement, comparison, and improvement.

Qualifications:

• 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.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export  licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls.  As such, applicants for this position – except 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.

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 $140,000 to $192,500.

• 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.