Nanoscale ML Engineer for Metrology Insights

FabuBlox Inc.; Boston (MA); On-site; USD 120,000 - 180,000; Full time

Job summary

FabuBlox is building a unified online platform where nanoscale metrology data is analyzed to extract insights about device properties. We seek a Machine Learning / AI Engineer to develop models, build data pipelines, and optimize production-ready ML features for our platform.

You will work with a small, passionate team to push the boundaries of semiconductor and nanotechnology analytics, leveraging PyTorch/TensorFlow and Python to handle complex scientific datasets.

Qualifications

• Hands-on experience building and deploying ML models using Python and popular ML frameworks (PyTorch, TensorFlow).
• Experience with processing complex scientific datasets and extracting actionable insights.
• Ability to collaborate with engineering and product teams to ship features.

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 AI/ML research relevant to our domain and apply cutting-edge techniques.

Skills

ML model development

Data pipelines

Cross-functional collaboration

Tools

Python

PyTorch

TensorFlow

Job description

FabuBlox is building a unified online platform where nanoscale metrology data is analyzed to extract insights about device properties. We seek a Machine Learning / AI Engineer to develop models, build data pipelines, and optimize production-ready ML features for our platform.

You will work with a small, passionate team to push the boundaries of semiconductor and nanotechnology analytics, leveraging PyTorch/TensorFlow and Python to handle complex scientific datasets.