Lead AI Engineer responsible for setting vision, building team, and delivering AI solutions at scale in semiconductor manufacturing.
Responsibilities
Define AI strategy and architecture for integrating machine learning into core engineering and manufacturing processes.
Partner with tool, process, and applications engineers to map as-is processes and define a to-be AI/automation architecture and deliver measurable outcomes.
Ship agentic assistants for use-cases. Stand up LLM + RAG + tool integrations that help engineers accelerate tool operation/setup/maintenance and explain trade-offs.
Lead projects across predictive maintenance, computer vision, LLM-based engineering assistants, process optimization, simulation and digital twins.
Build retrieval-augmented AI assistants to query internal knowledge bases, tools, and logs.
Support Verily’s mission to build advanced data and AI capabilities for precision health solutions.
Compensation
The Canada base salary range for this full-time position is CAD 139,000 - 156,500 + bonus + equity + benefits.
Responsibilities
Dive into complex data science projects, identifying opportunities to leverage data for groundbreaking healthcare solutions.
Collaborate with a diverse team of experts to conceptualize, develop, and implement AI solutions tailored to a variety of healthcare applications.
Apply cutting-edge machine learning algorithms, including Large Language Models (LLMs) and Natural Language Processing (NLP), to unlock insights from large, unstructured medical datasets and inform strategic decisions.
Build robust, data-driven solutions that translate complex analysis into practical applications, tackling significant healthcare challenges head-on.
Design and build scalable data pipelines that ensure data quality and accessibility, contributing to Verily's core data infrastructure.
Requirements
Advanced degree in a quantitative discipline (e.g., computer science, statistics, applied mathematics, biomedical informatics, biomedical engineering) or equivalent practical experience.
Nice to have: fine-tuning of LLMs
Nice to have: retrieval-augmented generation (RAG)
Nice to have: cross-functional leadership
Daily Meals: Lunch and Dinner provided
Family Insurance: 5 Lakhs worth of coverage for you and your family
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