[Hiring] Data & Artificial Intelligence Research Engineer @Citrine Informatics

Role Description

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.

• 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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• 401k with matching up to 4%.
• Medical, vision, dental insurance (we pay 100% of your premium and 75% of your dependents).
• Company-paid Life and Disability insurance.
• FSA and HSA plans.
• Equity options within the company.
• 12 weeks of paid parental leave.
• Flexible PTO on top of our 15 paid company holidays (includes your birthday!).
• Free financial counseling.
• $600 tech allowance.
• Monthly $75 phone reimbursement.
• $5,000 annual continuing educational allowance.