Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.

At Recursion, we combine experimental biology, chemistry, automation and artificial intelligence to quickly and efficiently identify treatments for diseases. We generate a wide variety of data across different biological and chemical domains, and build models off of that data. Reporting to the Director of Engineering for this group, the ML Platform Engineering Manager will work to provide first-in-class capabilities and infrastructure that accelerate and enable machine learning across the business. Recursion spends time and energy connecting every aspect of work to these values. They aren't static, but regularly discussed and questioned because we make decisions rooted in those values in our day-to-day work.

WellSky is looking for a Principal Engineer (Principal Data Architect) to power and guide our Enterprise Data Platform and Enterprise Data Engineering operations. The Principal Engineer is a thought leader responsible for executing the technical aspects of WellSky's Enterprise & Platform Data. This is absolutely an individual contributor role with no team or people management. You will have direct impact on the users of our solutions, mainly doctors, nurses, and others on the front lines of healthcare and community services. Your hard work will touch the lives of real people and families navigating life and death issues with the support of our solutions.

As a Principal Engineer, you'll be responsible for the architecture of a complex analytics platform that is already changing the way large industrial companies manage their assets. A Principal Engineer understands cutting-edge tools and frameworks, and is able to determine what the best tools are for any given task. You will enable and work with our other developers to use cutting-edge technologies in the fields of distributed systems, data ingestion and mapping, and machine learning, to name a few. We also strongly encourage Principal Engineers to tinker with existing tools, and to stay up to date and test new technologies--all with the aim of ensuring that our existing systems don't stagnate or deteriorate.