Data & Artificial Intelligence Research Engineer, L4

Data & AI Research Engineering (DARE) is a uniquely interdisciplinary team working at the intersection of materials science, machine learning, and software engineering. We are responsible for researching, developing, testing, implementing, and maintaining the core materials-aware machine learning functionality that powers the Citrine Platform. We collaborate extensively across the company — other teams rely on us throughout the product lifecycle to translate ideas to math to code and back again.

We are responsible for researching, developing, testing, implementing, and maintaining the core materials-aware machine learning functionality that powers the Citrine Platform. We collaborate extensively across the company — other teams rely on us throughout the product lifecycle to translate ideas to math to code and back again.

Example projects:

• Improve and maintain our core Python libraries that enable our users to apply machine learning to solve the world’s most important materials science problems at an industrial scale
• Collaborate with our Product team to shape the future of our AI capabilities and support our customer’s unique use cases
• Improve the interpretability of machine learning models and develop tools to communicate that information to users
• Improve our inverse design capabilities that efficiently explore complex parameter spaces that characterize real-world materials synthesis problems
• Collaborate with our External Research and Development (ERD) team to write and publish papers related to the work we’re doing
• Develop new methods to quantify uncertainty in machine learning predictions

• Writing and maintaining Python ML code
• Researching, prototyping, and developing new materials-aware ML models and features
• Collaborating closely with other engineers, frequently reviewing code and best practices
• Mentoring other developers
• Designing high-performance, scalable ML systems
• Testing & analyzing the impact and performance of models
• Working in a multi-functional team on features from concept to delivery

• 8+ years of professional experience or 3+ years with MS/PhD in a quantitative discipline
• Proficient in a programming language such as Python or Scala
• Proven history of implementing AI solutions for customers, with quantifiable results
• Experience solving scientific problems with computational techniques
• Ability to communicate complex technical concepts and design choices to any audience
• In depth knowledge of how core ML algorithms work and their design (random forest, neural networks, etc.)
• Ability to write tested, production-quality code
• Legally eligible to work in the United States

• Experience with or a degree in Materials Science
• Extensive knowledge of statistics
• Experience with LLMs
• • Bonus points if you’ve pre-trained or fine-tuned foundation models!
• SQL and relational databases
• Close integration with various AWS services (S3, RDS, SQS, etc)
• Published papers that establish you as a domain expert in AI/ML, NLP, or CV

All qualified applicants will receive consideration for employment without regard to race, creed, color, or national origin.

Please let us know if you need any accommodations during the interview process.

Citrine is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email us at peopleops or inform your recruiter if you require any reasonable accommodations throughout the recruiting process.

• We take pride in and recognize the successes and growth of ourselves and our colleagues. We support each other in our growth
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• We prototype and collect data to make good decisions. We question that data and…