Machine Learning Engineer

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: US, MA, Bostonposted on: Posted 30+ Days Agojob requisition id: R255201 You could be just the right applicant for this job Read all associated information and make sure to apply. **About Analog Devices **Analog Devices, Inc. (NASDAQ: ) 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 $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at and on and . **Machine Learning Engineer ** **About 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 independently * Perform feature engineering and data preprocessing * Conduct model evaluation and optimization * Contribute to ML pipeline development * Collaborate with data scientists and engineers **Must Have Skills: *** **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 **Preferred Education and Experience *** Bachelor's or Master's degree in Computer Science, Data Science, or related field * 0-2 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. *Job Req Type:Required Travel:Shift Type:locations: US, MA, Bostonposted on: Posted 30+ Days Agolocations: US, MA, Bostonposted on: Posted 30+ Days Ago #J-18808-Ljbffr