Application Guide

How to Apply for Data & Artificial Intelligence Research Engineer, L4

at Citrine Informatics

🏢 About Citrine Informatics

Citrine Informatics is a pioneering company that accelerates sustainable materials development by combining AI-driven data ecosystems with intelligent workflows. Working here means directly contributing to cutting-edge solutions that address global challenges like climate change and resource efficiency. The company's unique interdisciplinary culture blends materials science, machine learning, and software engineering, offering a rare opportunity to work at the intersection of these fields.

About This Role

As a Data & AI Research Engineer on the DARE team, you will research, develop, and maintain the core materials-aware machine learning functionality that powers the Citrine Platform. This role involves close collaboration across teams to translate ideas from math to code and back, ensuring the platform remains at the forefront of AI-driven materials innovation. Your work will directly impact how scientists discover and develop new materials, making a tangible difference in sustainability.

💡 A Day in the Life

A typical day might involve researching new ML architectures for materials property prediction, implementing and testing models in Python, and collaborating with materials scientists to refine features. You'll also participate in code reviews, team stand-ups, and cross-functional meetings to align on product requirements. Expect a balance of independent deep work and interactive problem-solving, all aimed at advancing Citrine's platform.

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Interview Prep

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🎯 Who Citrine Informatics Is Looking For

  • Holds a PhD or Master's in materials science, chemistry, physics, computer science, or a related field, with a strong publication record in ML for materials.
  • Proficient in Python and ML libraries (PyTorch, TensorFlow, scikit-learn), with experience in graph neural networks, Bayesian optimization, or generative models for materials.
  • Demonstrates ability to bridge materials science and ML, such as feature engineering for crystal structures or predicting material properties.
  • Has a track record of deploying ML models in production environments and collaborating with cross-functional teams to solve real-world problems.

📝 Tips for Applying to Citrine Informatics

1

Tailor your resume to highlight projects where you applied ML to materials science problems, explicitly mentioning techniques like GNNs, active learning, or high-throughput screening.

2

In your cover letter, express genuine passion for sustainable materials development and explain how your background aligns with Citrine's mission to accelerate materials innovation.

3

Showcase your ability to work at the intersection of research and engineering by describing instances where you translated research ideas into production code.

4

If you have open-source contributions or publications, include links and briefly explain their relevance to materials-aware ML.

5

Mention any experience with cloud platforms (AWS, GCP) and MLOps tools, as Citrine's platform likely relies on scalable infrastructure.

✉️ What to Emphasize in Your Cover Letter

["Your specific experience applying machine learning to materials science challenges, with concrete examples of models you've built (e.g., property prediction, materials discovery).", "How you've collaborated with domain experts (materials scientists, chemists) to translate their needs into ML solutions, demonstrating your interdisciplinary communication skills.", "Your enthusiasm for Citrine's mission and how your work can contribute to sustainable materials development, showing alignment with the company's values.", 'Evidence of your ability to both research novel ML approaches and implement them in production, highlighting your engineering rigor.']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read Citrine Informatics' technical blog posts and whitepapers to understand their platform's capabilities and recent advancements in materials-aware AI.
  • → Explore their GitHub repositories (if public) to see the types of tools and models they develop, and familiarize yourself with their tech stack.
  • → Research the backgrounds of the DARE team members on LinkedIn to understand their expertise and potential interview focus areas.
  • → Learn about the materials science challenges Citrine addresses (e.g., batteries, polymers, alloys) and how AI can accelerate their development.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 How would you design a machine learning model to predict the bandgap of a new material given limited experimental data?
2 Explain how you would handle sparse or noisy data typical in materials science, and what techniques you'd use to improve model robustness.
3 Describe a time you had to explain a complex ML concept to a materials scientist or vice versa. How did you ensure mutual understanding?
4 What are the trade-offs between using graph neural networks versus traditional descriptors (e.g., composition-based features) for materials property prediction?
5 Can you walk us through a project where you deployed an ML model to production? What challenges did you face and how did you overcome them?
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⚠️ Common Mistakes to Avoid

  • Submitting a generic application that doesn't demonstrate specific interest in materials science or Citrine's mission—this role requires a genuine passion for the intersection.
  • Overemphasizing pure ML theory without showing how you've applied it to real-world materials problems, as the role demands practical implementation.
  • Neglecting to mention collaborative experiences, as the DARE team works closely with other departments and communication skills are critical.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Citrine Informatics!

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