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. 

ADI At A Glance

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 $12 billion in FY23 and approximately 26,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible. Learn more at www.analog.com and on LinkedIn and Twitter (X)

Job Description: 
As an Associate Machine Learning Engineer, you will work on developing and optimizing machine learning algorithms to enhance data-driven product solutions. You will contribute to the creation of structured and unstructured data models, performing statistical analysis and improving product/system performance. This role involves collaborating with teams to translate machine learning models into code, testing and debugging algorithms, and ensuring the integration of machine learning capabilities across various platforms. 

Key Responsibilities: 

• Assist in designing and developing machine learning models and algorithms for data analysis and system optimization. 

• Work with structured and unstructured data to create predictive, descriptive, and prescriptive algorithms. 

• Collaborate on product/system improvement projects by applying statistical techniques such as decision trees, logistic regression, and Bayesian analysis. 

• Translate machine learning models and algorithms into code and integrate them into systems. 

• Test, debug, and refine machine learning algorithms to ensure efficiency and accuracy. 

• Document development processes and procedures for algorithm installation and maintenance. 

Skills You Will Need to Be Successful: 

• Proficiency in programming languages such as Python, R, or C++ for implementing machine learning algorithms. 

• Basic understanding of statistical modeling techniques (e.g., decision trees, logistic regression, Bayesian analysis). 

• Familiarity with data structures and database systems. 

• Strong analytical skills and problem-solving abilities. 

• Ability to collaborate with cross-functional teams and communicate technical concepts clearly. 

Minimum Qualifications: 

• Bachelor’s Degree in Computer Science, Data Science, or a related field. 

• 0-2 years of experience in machine learning, data science, or software development. 

• Understanding of fundamental machine learning principles and algorithms. 

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.