Materials Informatics Engineer — AI-Driven R&D

Enthought, Inc.; Austin (TX); Hybrid; USD 110,000 - 170,000; Full time

Benefits offered by this job

Meaningful impact

Agentic AI

World-class colleagues

Continuous learning

Global office footprint

Hybrid work in Austin

Competitive compensation

Job summary

Enthought, Inc. is hiring a Materials Data Scientist / Scientific Software Developer to join our client-facing solution delivery team in Austin.

You will pair deep materials and chemistry expertise with agentic AI coding tools to help researchers make faster R&D decisions and bring innovative products to market sooner. The role covers data exploration through model development to production software on projects that blend Enthought’s proprietary tech with the open-source scientific Python

Qualifications

• Experience in materials informatics and chemistry
• ML/AI knowledge for R&D problems
• Proficiency with Python scientific stack (NumPy, SciPy, pandas) and data visualization

Responsibilities

• Design end-to-end materials informatics solutions spanning data, models and user-facing apps.
• Collaborate with client researchers to translate R&D problems into architectures.
• Lead AI agent-driven data exploration, model prototyping and software development.
• Build data-driven models, AI decision-support tools and automated data pipelines.
• Develop GUI, 2D/3D visualizations and cloud-based components.
• Ensure responsible handling of client data and IP.

Job description

Enthought, Inc. is hiring a Materials Data Scientist / Scientific Software Developer to join our client-facing solution delivery team in Austin.

You will pair deep materials and chemistry expertise with agentic AI coding tools to help researchers make faster R&D decisions and bring innovative products to market sooner. The role covers data exploration through model development to production software on projects that blend Enthought’s proprietary tech with the open-source scientific Python