Senior LLM and Materials Informatics Scientist

Freudenberg; Plymouth (MI); On-site; USD 80,000 - 100,000; Full time

Job summary

An established industry player is looking for a skilled professional to enhance their materials informatics capabilities using advanced Large Language Models and generative AI technologies. In this role, you will lead innovative projects, architect scalable solutions, and apply cutting-edge computational methods to drive product and material design optimizations. Join a diverse and inclusive environment where your expertise in AI and machine learning can significantly impact sustainable solutions and new mobility applications. This is an exciting opportunity to work at the forefront of technology and contribute to groundbreaking advancements in materials science.

Qualifications

• PhD or equivalent experience in materials science or related fields.
• 5+ years in computational methods for material design optimization.
• Proficiency in programming languages like Python, Julia, and C/C++.

Responsibilities

• Implement and fine-tune Large Language Models for design applications.
• Lead initiatives in generative AI and physics-informed machine learning.
• Analyze materials data using advanced statistical techniques.

Skills

Computational Methods

Generative AI

AI/ML Tools

Data Mining Techniques

Programming (Python, Julia, C/C++)

Education

PhD in Materials Science or Related Fields

Tools

OpenAI’s GPT Models

Meta’s Llama Models

Hugging Face

SQL

MySQL

MongoDB

Flask

Azure

Job description

Working at Freudenberg: We will wow your world!

Responsibilities:

• Implement and fine-tune state-of-the-art Large Language Models for various material, product, and process design applications, focusing on performance and accuracy.
• Implement Retrieval-Augmented Generation (RAG), LLM agents, etc. to enhance the capabilities of Large Language Models.
• Lead the incubation of new initiatives, architect scalable solutions, and drive strategic technology choices to develop and deliver LLM enhanced materials informatics capabilities.
• Lead activities in generative AI and physics-informed machine learning for product, formulation, material/process discovery, and design.
• Develop advanced data-driven and physics-based models to guide and accelerate the development of products, materials, and processes for sustainable solutions and new mobility applications.
• Analyze and interpret materials data using advanced statistical and data mining techniques.
• Propose, execute, and defend project concepts; collaborate and plan experimental campaigns for model development, validation, and deployment with Freudenberg Business Groups.

Qualifications:

• PhD or equivalent experience in materials science, chemistry, chemical engineering, physics, mechanical engineering, or related fields.
• Minimum 5 years of experience in computational methods (Ab Initio / MD / FEA / CFD / Multi scale / Multi physics / cheminformatics / materials informatics) for material or product design optimization (e.g., Bayesian optimization), either in industry or academia.
• Experience with Generative AI, AI/ML tools for accelerating physics-based simulations.
• Develop scalable Generative AI solution frameworks and exposure to deployment strategies.
• Experience with integrating Generative AI tools such as OpenAI’s GPT models, Meta’s Llama models, Hugging Face, etc. in material/product design solutions.
• Experience with applying Generative AI for extracting data from patents, publications, reports, and data sheets.
• Proficiency in programming languages like Python, Julia, C/C++, and familiarity with SQL, MySQL, MongoDB, Flask, Azure, or other cloud technologies.

The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.