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Eastman Chemical

Specialty chemicals and materials manufacturer

Senior Design Engineer

Applied Machine Learning +1Updated on Nov 14
Full-timeKingsport, TN, USA

About the Job

Requirements

  • A PhD in Chemical Engineering, Materials Science, Polymer Science, Computer Science, Data Science, Computational Engineering, or a related field with 1–2 years of relevant postdoctoral or industrial experience, or a master's degree in a related field with 4–5 years of relevant industry experience in material informatics, machine learning, artificial intelligence, data science, or related technical disciplines.
  • Strong programming skills, particularly in Python and modern data science environments.
  • Experience developing, validating, and deploying machine-learning models and AI applications.
  • Experience with large language models, prompt engineering, retrieval-augmented generation, vector databases, embeddings, and knowledge retrieval systems.
  • Strong data management, analytical, and problem-solving skills, with the ability to work with structured and unstructured datasets.
  • Ability to translate technical and business needs into practical digital solutions.
  • Strong written and verbal communication skills and ability to work effectively in multidisciplinary teams.

Responsibilities

  • Build, expand, and maintain proprietary data assets, including failure analysis data, processing parameters, material properties, characterization results, application performance data, and customer project information.
  • Establish data collection, documentation, and governance standards that improve the quality, consistency, and usability of technical data across the organization.
  • Work with IT, Digital, and Data Science teams to develop secure, scalable, and reliable data infrastructure while protecting company and customer information.
  • Develop, deploy, maintain, and continuously improve AI-powered tools for technical workflows, including failure analysis, design-for-manufacturability, material selection, processing optimization, troubleshooting, and root-cause analysis.
  • Build and maintain AI assistants and knowledge systems that enable technical and commercial teams to rapidly access information and answer routine technical questions.
  • Develop machine-learning models combining historical material, processing, application, and Moldflow simulation data to predict performance, identify failure risks, and recommend optimization opportunities.
  • Develop AI-enabled tools that support application development by recommending materials, processing conditions, design guidelines, and application solutions using proprietary technical knowledge.
  • Partner with scientists, engineers, application development teams, manufacturing personnel, commercial teams, and data scientists to identify opportunities where AI and machine learning can improve productivity and technical outcomes.
  • Evaluate emerging AI technologies and implement practical solutions that enhance innovation, knowledge management, and business performance.

Desired Qualifications

  • Experience combining materials science and computational or AI disciplines in academic or industry settings.
  • Experience applying AI, machine learning, or advanced analytics to scientific, engineering, manufacturing, or product development challenges.
  • Experience building AI assistants, copilots, agent-based systems, or decision-support tools.
  • Experience integrating simulation outputs, such as Moldflow, Ansys, Comsol, and Simulink results, with machine-learning models.
  • Understanding of polymer processing, materials characterization, manufacturing, product development, or application engineering.
  • Experience in specialty plastics, polymers, advanced materials, specialty chemicals, or manufacturing industries.
  • Experience developing predictive models using limited, incomplete, or real-world industrial datasets.

About the Company

Eastman Chemical

Specialty chemicals and materials manufacturer

Eastman Chemical Company, which brands itself as Eastman, is a global specialty materials company that develops and manufactures specialty chemicals, polymers, and cellulosic fibers. Its products include copolyesters such as Eastman Tritan and Cristal, Naia cellulosic fibers, Tetrashield protective resin systems, and recycled-content materials like Eastman PET Renew, developed with customers across roughly 13 industries including packaging, consumer goods, transportation, and textiles. A central part of its operations is molecular recycling, which converts hard-to-recycle plastic waste into feedstock for new materials at plants in Kingsport, Tennessee, Longview, Texas, and France. What sets Eastman apart is this circular-economy focus—its molecular recycling capacity and "It's the feedstock" model—paired with a broad specialty portfolio. The goal is to address challenges like climate change and plastic waste while supplying sustainable materials to industry.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Kingsport, TN
Founded
1920

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