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 FY22 and approximately 25,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible.

We are seeking an experienced and hands-on machine learning engineer to be a core part of the Enterprise AI team. The chosen candidate will work as part of a team using best in class AI and ML techniques to solve some of ADI's toughest engineering challenges.
Skills:
* MS in Computer Science, Mathematics or Statistics
* 15+ years of total industry experience, preferably with at least 5 years in a Silicon engineering role
* 5+ years' experience in training or fine-tuning foundation models
* Hands-on experience with GenAI specific tools such as Langchain, LlamaIndex
* Experience in developing machine learning models from definition to rollout
* Hands-on experience with deep learning frameworks such as pytorch
* Very proficient with Python with experience in developing and rolling out enterprise-level applications and familiarity with environments such as pip, conda, poetry in Linux

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.