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 a Machine Learning Engineer, you will develop and program machine learning algorithms that drive data-driven decision-making and system optimization. You will be responsible for creating complex models, applying statistical techniques, and implementing deep learning technologies. This role involves collaborating with teams to integrate machine learning into new products and systems, enhancing performance, and improving data management. You will also contribute to testing, debugging, and refining algorithms to meet product and system requirements. 

Key Responsibilities: 

• Design, develop, and implement machine learning models for product and system optimization in structured and unstructured environments. 

• Apply statistical modeling techniques (e.g., decision trees, logistic regression, Bayesian analysis) to develop predictive and prescriptive algorithms. 

• Work on product/system improvement projects, ensuring that machine learning models improve performance, quality, and accuracy. 

• Translate machine learning algorithms into functional code and integrate them with data systems and platforms. 

• Apply deep learning technologies to enable systems to learn and adapt to complex situations. 

• Collaborate with cross-functional teams to ensure the smooth integration of machine learning capabilities across various projects. 

• Perform testing, debugging, and documentation of machine learning models for installation and maintenance. 

Skills You Will Need to Be Successful: 

• Strong proficiency in programming languages like Python, R, or C++ for building machine learning models. 

• Advanced knowledge of statistical techniques such as decision trees, logistic regression, and Bayesian analysis. 

• Experience with deep learning technologies and frameworks (e.g., TensorFlow, PyTorch). 

• Understanding of large-scale data processing systems and computing frameworks. 

• Strong analytical skills, with the ability to optimize and troubleshoot machine learning models. 

Minimum Qualifications: 

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

• 2+ years of experience in machine learning, software engineering, or data science. 

• Proven experience with machine learning algorithm development and system integration. 

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.