System Inc. builds software to help the world see and solve anything as a system. We are a Public Benefit Corporation driven by purpose and shaped by values. We aspire to build a more responsible and values-driven model of a tech company. To learn more about what motivates our mission, we invite you to read: http://www.brokennature.org/redesigning-the-system/.
System helps teams discover data, share insights, and build knowledge. Designed and built for the data-first era, System is where knowledge lives. Today, System is used by data and analytics teams and their stakeholders in sectors ranging from healthcare to financial services to technology.
We believe in the power of small, autonomous, interdisciplinary, and diverse teams; in agile development; and in leading with values, first principles, and clear high-level priorities backed by data. We believe in cultivating a growth mindset for our team — always learning, improving, being challenged, and having opportunities for professional and personal development.
We hire systems thinkers who are motivated by our purpose, share our values, and have the skills to advance our mission. We are proud to foster a workplace, in person and online, free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users. We are a distributed-first company, and gather as a team periodically in the Hudson Valley in upstate New York to collaborate in-person.
You have experience working with a variety of data and model types.
You are familiar with the latest trends and technologies in machine learning and AI.
You know how to code (ideally in one of Python, R, or TypeScript) and are willing to do lots of it.
You have a great statistical foundation and the curiosity to continually learn.
You understand and have, in practice, demonstrated the trade-off between accuracy and explainability of algorithms.
You are familiar with production workflows of machine learning models and are comfortable working with cloud-based solutions like Databricks and AWS SageMaker.
You are excited by - and have experience in - building tools for individuals and teams to become more data-driven
What would be great if you have:
Experience building Natural Language Processing models
Familiarity and experience with semantic graphs
Maintain and improve the suite of libraries that System has built for Data Scientists.
Build data processing pipelines to train and improve our recommendation algorithms.
Contribute to design and tracking of key metrics related to user engagement on the platform.
We are a fast-paced startup where roles and responsibilities will evolve as we grow. Flexibility and the passion to switch roles is a must.