Principal Engineer

Remote, Silicon Valley, CA, United States • $160k - $205k

Citrine Informatics


Role Locations

  • Remote
  • Silicon Valley, CA, United States

Compensation

$160k - $205k

Employees

51 - 100 people

Address

702 Marshall St Ste 520
Redwood City, CA, 94063-1826, US

Tech Stack

  • PostgreSQL
  • DynamoDB
  • AWS
  • JVM
  • JavaScript
  • React
  • Scala
  • Python

Role Description

Principal Engineer Design and build Citrine’s scalable smart data infrastructure and AI platform powering development and discovery of next-generation materials and chemicals. About Citrine Citrine is the leader in materials informatics, and is fundamentally changing the way materials data is managed and how materials are developed. These materials will enable the next generation of products that make up the world around us like cars, phones and solar panels.

The current materials industry challenge is speed. New chemicals, alloys, polymers and other materials are developed too slowly to keep up with the ever-increasing demand for complex products. The future of materials development for manufacturing lies in using data to accelerate the development cycle. Citrine Informatics is building a next-generation platform for materials data from the ground up, harnessing the power of AI to capture materials-enabled product value and bring new materials to market faster.

Though our technology was originally built by materials scientists, our team now consists of professionals trained in a diverse set of fields, including data science, physics, biology, and computer science. We have offices in the San Francisco Bay Area, Chicago, and Pittsburgh, and our customers include Fortune 1000 materials and product companies. Projects you’ll work on The next-generation platform for empowering scientists with Citrine’s AI, guiding experimental design to accelerate discovery and lead to research breakthroughs. A system for sharing and managing materials data across an enterprise’s researchers, with the goal of fostering collaboration between scientists, reducing experimental waste, and aiding in the management of R&D projects. Complex analysis & visualizations that allow our users to gain deeper insights into their data. What you’ll do Build backend services to support product features on the Citrine Platform that puts our core technology in the hands of scientists Deploy and support your software & infrastructure in production Collaborate closely with other engineers, frequently reviewing code and discussing architecture Mentor other developers Design high-performance, scalable systems Test and analyze the impact and performance of your software Work in a multi-functional team on features from concept to delivery The stack Scala, Python Swagger/OpenAPI 3 Akka HTTP, Slick PostgreSQL AWS Computer Services (EC2, ECS, Fargate, Batch) Requirements BS in Computer Science or similar technical field of study, or equivalent industry experience 8 years of experience writing production software on the JVM, with 2 years of Scala Experience building backend web services Experience planning and delivering complex, long-term projects Nice-to-haves Familiarity with Akka HTTP, Slick, and basic functional programming Familiarity with containerization / Docker Experience with AWS Experience with production monitoring systems such as DataDog Experience deploying ML models to production environments

Working at Citrine offers the rare opportunity to collaborate with applied scientists at the leading edge of statistical learning theory and application. Here are a few representative peer-reviewed publications describing research done at Citrine in support of the platform’s AI capabilities:

Assessing the Frontier: Active Learning, Model Accuracy, and Multi-objective Materials Discovery and Optimization (2019). at https://arxiv.org/abs/1911.03224 Can machine learning identify the next high-temperature superconductor? Examining extrapolation performance for materials discovery (2018). at https://doi.org/10.1039/C8ME00012C Overcoming data scarcity with transfer learning. (2017). at https://arxiv.org/abs/1711.05099 High-Dimensional Materials and Process Optimization Using Data-Driven Experimental Design with Well-Calibrated Uncertainty Estimates. (2017). at https://doi.org/10.1007/s40192-017-0098-z

This posting is open to those with existing legal right to work in the United States. Citrine Informatics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, or national origin.

About Citrine Informatics

The future of materials development depends on speed. Developing materials faster will require managing and using data more effectively, which includes consolidating data into a single consistent searchable format, as well as structuring, storing, and using materials data to harness the power of artificial intelligence. Our product combines a consolidated materials repository, the world’s largest materials dataset, and powerful artificial intelligence to accelerate materials discovery.

Company Culture

Citrine Informatics’ artificial intelligence technology is changing and accelerating the way materials and products are developed and as a result, the environment is fast-moving, intense, fun and supportive. The culture of the company is driven by our company values. Candidates who align with the following values will thrive:

  • We act with autonomy and we are accountable for performance excellence;

  • We use data to make good decisions;

  • We live up to our commitments and get the job done and have a bias toward execution;

  • We are committed to our internal team through recognizing our colleagues for their successes and assistance, and to our external community through making positive contributions when possible;

  • We value diverse opinions, perspectives and backgrounds.

These values influence how we work, prioritize our time, evaluate our performance, interact with colleagues and customers, as well as candidates for employment.

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