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 at www.analog.com and on LinkedIn and Twitter (X).
Employer: Analog Devices, Inc.
Job Title: Senior Research Scientist, Machine Learning
Job Requisition: 1010.408.5 / R262487
Job Location: Wilmington, Massachusetts
Job Type: Full Time
Rate of Pay: $138,732 - $205,200 per year
Duties: Create novel algorithms specialized for applications, such as energy, healthcare, and robotics. Develop software simulations and analyze the performance of algorithms. Help with prototype systems, algorithms, and methods to prove their performance and practicality. Work with other researchers and engineers, inside and outside the Algorithmic Solutions Group, to connect our work with our mission statement. Stay abreast of state-of-the-art algorithms and research advances beyond the state of the art in areas relevant to Analog Devices.
Position is a telecommuting role and can be performed from anywhere in the U.S. Position reports to the headquarters.
Requirements: Must have a Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or closely related technical discipline (willing to accept foreign education equivalent) and two (2) years of experience in the job proffered or related occupation conducting machine learning research and engineering in Energy, Security, Communication, or Healthcare.
Must also possess the following (quantitative experience requirements not applicable to this section):
- Demonstrated Expertise (“DE”) in algorithm development using linear algebra, graph theory, probability, optimization, and statistics.
- DE signal processing, deep learning and neural networks, and algorithms for inference and learning.
- DE with architectures for implementation of algorithms on software or on edge platforms such as Micro-Controller Units.
- DE in privacy preserving machine learning including adversarial robustness, and differential privacy.
Contact: Eligible for employee referral program. Apply online at https://www.analog.com/en/careers.html and Reference Position Number: R262487.
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: ExperiencedRequired Travel: No
Shift Type: 1st Shift/Days
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.
Skills Required
- Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or closely related discipline
- 2 years of experience in machine learning research and engineering
- Expertise in algorithm development using linear algebra, graph theory, probability, optimization, statistics
- Expertise in signal processing, deep learning, and neural networks
- Expertise in privacy preserving machine learning including adversarial robustness and differential privacy
Analog Devices Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Analog Devices and has not been reviewed or approved by Analog Devices.
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Retirement Support — The 401(k) program is described as a standout feature, with company contribution up to 8% of base salary and immediate vesting. This structure strengthens long-term value even when cash compensation perceptions vary.
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Healthcare Strength — Health coverage is positioned as comprehensive, including medical, dental, and vision options along with disability and life insurance. Day-one eligibility and multiple plan choices add to perceived robustness.
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Leave & Time Off Breadth — Paid time off appears broad, with vacation ranging from roughly 17–25 days and increasing up to five weeks with tenure, alongside sick time and paid holidays. Parental leave and related time-off provisions further expand coverage.
Analog Devices Insights
What We Do
Analog Devices, Inc. (NASDAQ: ADI) operates at the center of the modern digital economy, converting real-world phenomena into actionable insight with its comprehensive suite of analog and mixed signal, power management, radio frequency (RF), and digital and sensor technologies. ADI serves 125,000 customers worldwide with more than 75,000 products in the industrial, communications, automotive, and consumer markets. ADI is headquartered in Wilmington, MA.
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