Associate Machine Learning Engineer

What You'll Do

• 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 2-5 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.
• 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 Job Required Travel: Yes, 10% of the time The 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.