Data & Artificial Intelligence Research Engineer, L4

Citrine Informatics uses artificial intelligence to advance sustainable, high-performing materials and chemicals. The Data & Artificial Intelligence Research Engineer researches, develops, tests, implements, and maintains materials-aware machine learning functionality, while collaborating across teams to deliver scalable AI solutions and support customer use cases.

Responsibilities:

• 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

Requirements:

• 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