Come join Analog Devices (ADI) – a place where Innovation meets Impact. For more than 55 years, Analog Devices has been inventing new breakthrough technologies that transform lives. At ADI you will work alongside the brightest minds to collaborate on solving complex problems that matter from autonomous vehicles, drones and factories to augmented reality and remote healthcare.
ADI fosters a culture that focuses on employees through beneficial programs, aligned goals, continuous learning opportunities, and practices that create a more sustainable future.
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, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.
Machine Learning EngineerAbout the RoleAs a Machine Learning Engineer at Analog Devices, you will play a key role in developing and implementing machine learning models that enhance our semiconductor solutions. You will work independently on ML projects while collaborating with cross-functional teams to deliver innovative solutions. This position offers the opportunity to apply your ML expertise to solve real-world problems in signal processing, sensor data analysis, and edge computing applications. Key Responsibilities:
- Develop and implement ML models independently
- Perform feature engineering and data preprocessing
- Conduct model evaluation and optimization
- Contribute to ML pipeline development
- Collaborate with data scientists and engineers
- Python Programming: Strong programming skills with proficiency in developing efficient and maintainable code
- ML Frameworks: Experience implementing solutions using modern machine learning frameworks and tools
- Data Modeling: Ability to create effective data models and apply appropriate preprocessing techniques
- Model Optimization: Knowledge of methods to evaluate and optimize ML model performance
- Pipeline Development: Understanding of ML deployment processes and pipeline development
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- 2-5 years of experience in machine learning or related field.
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: Graduate JobRequired Travel: Yes, 10% of the time
The expected wage range for a new hire into this position is $121,600 to $167,200.
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
- Strong Python programming skills and ability to develop efficient, maintainable code
- Experience implementing solutions using modern machine learning frameworks and tools
- Ability to create effective data models and apply appropriate preprocessing techniques
- Knowledge of methods to evaluate and optimize machine learning model performance
- Understanding of machine learning deployment processes and pipeline development
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field
- 2-5 years of experience in machine learning or a related field
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.
-
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.
-
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.
-
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.
.png)
