Associate Machine Learning Engineer

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 DevicesAnalog 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 and on LinkedIn and X.Machine Learning EngineerAbout the Role As 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 independentlyPerform feature engineering and data preprocessingConduct model evaluation and optimizationContribute to ML pipeline developmentCollaborate with data scientists and engineersMust Have Skills:Python Programming: Strong programming skills with proficiency in developing efficient and maintainable codeML Frameworks: Experience implementing solutions using modern machine learning frameworks and toolsData Modeling: Ability to create effective data models and apply appropriate preprocessing techniquesModel Optimization: Knowledge of methods to evaluate and optimize ML model performancePipeline Development: Understanding of ML deployment processes and pipeline developmentPreferred Education and ExperienceBachelor's or Master's degree in Computer Science, Data Science, or related field2-5 years of experience in machine learning or related field.Why You’ll Love Working at ADI At Analog Devices, you'll be part of a collaborative and innovative team that's shaping the future of technology. We offer a supportive environment focused on professional growth, competitive compensation and benefits, work-life balance, and the opportunity to work on cutting-edge projects that make a real impact on the world. You'll have access to continuous learning opportunities and mentorship from industry experts. Join us and help create the technologies that bridge the physical and digital worlds, making a tangible difference in how people live, work, and connect.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 timeThe 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.SummaryLocation: US, MA, BostonType: