About the role
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What they're looking for
- 7+ years of relevant engineering experience (such as computer science/AI research, software engineering, machine learning, scheduling and planning, or knowledge representation)
- 4+ years of experience with complex hardware + software systems
- 2+ years of small-group direct people management experience
- Expertise in leading techniques for semantic capture, search, and embedding spaces
- PhD or MSc in Computer Science or adjacent areas, or BSc with 10+ years of AI/ML/Comp Sci research excellence required
More about this role
Let’s search for your next career at TEL. Use the form below to search our current opportunities and then apply. Please consider joining our Talent Community so that we may continue to engage with you.
Tokyo Electron (TEL) is a leader in semiconductor manufacturing equipment. We make equipment for key parts of the manufacturing process in the world’s largest foundries. TEL Technology AI and Design (TTAD) is our Silicon Valley AI lab, where we do groundbreaking, long-term research and technology development in AI for semiconductor equipment.
One of our projects relates to creating a knowledge store that will support the autonomous fab, and all research activities associated with it. We are looking for an experienced engineering leader who can provide leadership for a team across multiple locations and time zones, as well as manage a small local team. The technologies used include ontology-based ingestion, multiple latent spaces, multi-modal ingestion and retrieval, anti-hallucination techniques, advanced provenance strategies, and a very heterogeneous data storage model.
This is a people management position, reporting to the Director of TTAD.
- Lead end-to-end delivery of AI (AI,...
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