Data & Artificial Intelligence Research Engineer, L4

About Citrine Informatics

At Citrine, we’re using Artificial Intelligence (AI) to enable our customers to usher in the next generation of sustainable, high-performing materials and chemicals.

Our customers love what we do:

“We understand our own laboratory more than before. It’s fun to work in this way.”

We’re the leader in AI for materials and chemicals. 10 of the top 20 chemical companies have trusted us as their AI provider and we have created more than $100 Million dollars in value for our customers to date. Our no-code SaaS platform empowers product developers to accelerate their work using chemically-aware data management and AI tools.

Citrine regularly wins awards for innovation and sustainability, earning spots on the CB Insights AI 100list and the Inc. 5000list of fastest-growing private companies in the US. Our customers include leading organizations such as LyondellBasell, Evonik, Grace, Avery Dennison, and Syensqo. We also collaborate with researchers from world-renowned institutions on cutting-edge research at the intersection of AI and the physical sciences.

Our team is exceptional, eager to grow and learn from each other. Team members work remotely throughout North America and Europe driven by our sustainability mission. We’re growing quickly, and looking for the best to join us!

About the Role

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.

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

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

Skills and Experience

• 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 Skills and Experience

• 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

Equal Opportunity

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.

Accommodations

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 [email protected] or inform your recruiter if you require any reasonable accommodations throughout the recruiting process.

Our Core Values

Citrine Informatics recognizes that its most valuable asset is its people. We have created our set of Core Values to encourage, support, and invest in our team as they work to innovate and support a more sustainable world. Our Core Values reflect our ongoing commitment to continuously invest in nurturing our talent and our people-first approach to conducting business.

- We take pride in and recognize the successes and growth of ourselves and our colleagues. We support each other in our growth.

- We prototype and collect data to make good decisions. We question that dataand are constantly iterating to find the best solution.

- We are all ownersof Citrine and make decisions like owners. We work autonomously with personal and organizational accountability.

- We commit to building a diverse and inclusivecommunity within Citrine and actively promote equity and belonging.

- We are tirelessly committed to creating value for our customers.

- We exist to help our customers accelerate the development of sustainableproducts that are critical to the future of both our planet and our industry.

Compensation and Pay Transparency

At Citrine, we want your path to career growth to be transparent, straightforward, fair, and easily accessible -- starting with your application and interview process. The annual salary range listed below reflects the level we are considering for this position (please note that there may be unique situations where you may fall outside of this range). Where you fall within the range will depend on how your experience and skills align with our internal leveling system as we learn more about you throughout the interview process.

$182,000 USD - $210,000 USD

*Range(s) listed are for full-time employees based in the United States only.

Our Benefits (for exempt, full-time employees based within the United States)

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