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.
The AI Labs team is looking for experienced Machine Learning Engineers to develop core AI technologies for Analog Devices’ future AI products. Our technologies range from generative AI for electronics to deeply embedded AI models in our silicon. We work across various markets and applications to solve problems beyond the reach of traditional algorithms and circuit innovations.

Responsibilities include:

• Full stack developer to perform AI experiments and R&D in AI / GenAI space
• Participate in all phases of our ultra-applied research projects: ideation through to production
• Test and deploy experimental frameworks and algorithms and evaluate performance, creating end-to-end experimental pipelines
• Work with production coding counterparts to develop process to transition successful PoC code
• Create and maintain reusable functional code in machine learning framework.
• Help with front end, devOps, distributed computing, etc. as needed
• Stay abreast of the latest developments in machine learning tools from reputable groups and experiment with and prototype new machine learning libraries and practices

Qualifications:

• Master’s degree or equivalent experience.
• 5+ years of full-time industry experience in machine learning.
• Demonstrable track record of working with machine learning in production settings
• Strong background in machine learning, deep neural networks, reinforcement learning, and other AI technologies:
• Hands-on experience with large models
• Proficiency in Python and software development practice
• Good understanding of neural network models (e.g., transformers, multimodal models, etc.)

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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: Experienced
Required Travel: Yes, 10% of the time
Shift Type: 1st Shift/Day

• Full stack developer to perform AI experiments and R&D in AI / GenAI space
• Participate in all phases of our ultra-applied research projects: ideation through to production
• Test and deploy experimental frameworks and algorithms and evaluate performance, creating end-to-end experimental pipelines
• Work with production coding counterparts to develop process to transition successful PoC code
• Create and maintain reusable functional code in machine learning framework.
• Help with front end, devOps, distributed computing, etc. as needed
• Stay abreast of the latest developments in machine learning tools from reputable groups and experiment with and prototype new machine learning libraries and practice