Machine Learning / AI Engineer

At

FabuBlox , we are building a unified online platform where nanotechnology companies can design and analyze their devices at the nanoscale. We are seeking a

Machine Learning / AI Engineer

to help develop models that analyze metrology data from fabricated devices, unlocking deeper insights into nanoscale properties and measurements. Your Responsibilities

Design and implement

machine learning models

to extract meaningful insights from nanoscale metrology data. Collaborate with engineering and product teams to integrate ML-powered features into our platform. Develop robust

data pipelines

for pre-processing and augmenting metrology datasets. Stay updated on the latest

AI/ML research

relevant to our domain and apply cutting-edge techniques. Optimize models for accuracy, scalability, and performance in real-world production environments. You'll Succeed in This Role if You...

Have hands-on experience building and deploying

ML models

using Python and popular ML frameworks (e.g.,

PyTorch ,

TensorFlow ). Are excited about working with complex

scientific datasets

and extracting actionable insights. Enjoy solving challenging problems and continuously improving models based on feedback and new data. Bonus Points

Prior experience in a

startup

or founding environment where you helped shape the direction of AI-powered products. A track record of applying ML to domains that include

semiconductor research

or

material science . Why Join FabuBlox?

Help bring

next-generation tools

to the semiconductor and nanotechnology industries, redefining how innovation happens. Work on a

mission-critical product

that will shape the future of high-tech R&D and manufacturing. Collaborate closely with a

small, passionate team , and make a direct impact from day one.

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