Location: all cities,MA, USA
Apply locations US, MA, Boston posted on Posted 2 Days Ago job requisition id R243718
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.
Job Description: As an Associate Machine Learning Engineer, you will work on developing and optimizing machine learning algorithms to enhance data-driven product solutions. You will contribute to the creation of structured and unstructured data models, performing statistical analysis and improving product/system performance. This role involves collaborating with teams to translate machine learning models into code, testing and debugging algorithms, and ensuring the integration of machine learning capabilities across various platforms.
Key Responsibilities:
Skills You Will Need to Be Successful:
Minimum Qualifications:
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.
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