Careers
Machine Learning / AI Engineer
About the Role
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.