Tecton is currently hiring remotely all over the Americas (North, Central and South), and with a hybrid model in SF and NYC (come to the office as much as you want). Some of the challenges our Software Engineering team is tackling now include: - Building the Rift compute engine to allow users to make ML applications WITHOUT Spark: https://www.tecton.ai/blog/unlocking-real-time-ai-for-everyone-with-tecton/ - Creating cloud abstractions to allow our product to be used agnostically across many environments: https://www.tecton.ai/blog/announcing-tecton-google-cloud-integration/ - Tackling the unexplored challenges of enabling real-time ML at scale: https://www.tecton.ai/blog/common-challenges-real-time-machine-learning-feast-tecton/
Tecton builds a data management platform (a Feature Platform) to help enterprise customers create the best AI products by solving the most difficult problem in ML: the data. We provide developer tools and infra to accelerate up the production of models for batch and real-time ML. With our platform, teams can refine contextual data for AI products, obtain scalable cloud infrastructure to ingest and serve it at scale, and have a centralized knowledge management and data governance system.