Data & Artificial Intelligence Research Engineer, L4
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Job Description
Data and AI Research Engineer building materials-aware machine learning for Citrine Informatics’ sustainable materials and chemicals SaaS platform. Developing scalable models, Python libraries, and AI capabilities for industrial customers.
Responsibilities:
- Write and maintain Python ML code
- Research, prototype, and develop new materials-aware ML models and features
- Collaborate closely with other engineers, frequently reviewing code and best practices
- Mentor other developers
- Design high-performance, scalable ML systems
- Test and analyze the impact and performance of models
- Work in a multifunctional team on features from concept to delivery
- Improve and maintain core Python libraries enabling machine learning for materials science problems at industrial scale
- Collaborate with the Product team to shape AI capabilities and support customer use cases
- Improve machine learning model interpretability and develop user communication tools
- Improve inverse design capabilities for complex materials synthesis parameter spaces
- Collaborate with the External Research and Development team to write and publish papers
- Develop new methods to quantify uncertainty in machine learning predictions
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
- Preferred: Experience with or a degree in Materials Science
- Preferred: Extensive knowledge of statistics
- Preferred: Experience with LLMs
- Bonus: pre-trained or fine-tuned foundation models
- Preferred: SQL and relational databases
- Preferred: Close integration with various AWS services (S3, RDS, SQS, etc)
- Preferred: Published papers establishing domain expertise 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
- 15 paid company holidays (includes your birthday!)
- Free financial counseling
- $600 tech allowance
- Monthly $75 phone reimbursement
- $5,000 annual continuing educational allowance
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