Are you a problem solver looking for a hands-on internship position with a market-leading company that will help develop your career and reward you intellectually and professionally?

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)

At ADI, you will learn from the brightest minds who are here to help you grow and succeed. During your internship, you will make an impact through work on meaningful projects alongside a team of experts. Collaborating with colleagues in an environment of respect and responsibility, you will create connections that will become a part of your professional network.

ADI’s culture values aligned goals, work-life balance, continuous and life-long learning opportunities, and shared rewards. The internship program features various lunch-and-learn topics and social events with other interns and full-time employees.

At ADI, our goal is to develop our interns so they are the first to be considered for full-time roles.

Apply now for the opportunity to grow your career and help innovate ahead of what’s possible.

Job Description: 
As a Machine Learning Engineering Intern, you will work with the engineering team to gain hands-on experience in developing machine learning models and improving product performance. You will assist in the design and implementation of algorithms, helping to structure, analyze, and leverage data for various applications. This internship provides an opportunity to learn about machine learning methodologies, programming, and data management in real-world projects. 

Key Responsibilities: 

• Assist in the development and programming of machine learning algorithms for product and system optimization. 

• Work with structured and unstructured data to help build models and perform statistical analysis. 

• Support the translation of machine learning models into code and their integration into systems. 

• Participate in the testing and debugging of machine learning algorithms to ensure efficiency and accuracy. 

• Help document processes for algorithm development, installation, and maintenance. 

Skills You Will Need to Be Successful: 

• Knowledge of programming languages such as Python or R for machine learning. 

• Familiarity with statistical techniques like decision trees, logistic regression, and Bayesian analysis. 

• Interest in data science, machine learning, and AI technologies. 

• Strong problem-solving and analytical skills. 

• Ability to work collaboratively with engineering teams and communicate technical concepts effectively. 

Minimum Qualifications: 

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

• Interest in machine learning, data processing, and software development. 

• Basic understanding of machine learning principles and statistical modeling. 

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.