Overview

Jua is on a mission to achieve artificial general intelligence (AGI) by delving deeply into physics, the universe, and their relationship with human civilization. We are operating a foundational earth systems model. Our first model is capable of predicting atmospheric physics globally, with state-of-the-art performance in comparison to existing weather models.

As we scale the model, more applications like wildfire, flood or vegetation prediction become possible. Our flagship product is an API designed for weather-dependent power and energy traders, offering superior accuracy, lower latency, and a higher refresh rate, especially during critical events like hurricanes and cyclones.

With substantial venture capital backing at a sensible valuation, our first objective will be to provide businesses and countries with several orders of magnitude better and faster weather forecasts. Our multidisciplinary team combines expertise in machine learning, physics, aerospace, data processing, and UX design to create a crucial component for a sustainable world amidst changing climate patterns and increasing extreme weather events.

Joining our team means collaborating with individuals who have built successful companies and worked on technologies used by millions. You'll contribute to our culture of ambition, transparent communication, rapid iteration, and humility. We offer exciting challenges, creative freedom, a talented and enthusiastic team, fair compensation, and generous shares in the company.

Responsibilities and tasks

• Developing and improving scalable ETL pipelines in the cloud
• Loading, processing, normalizing and providing various data types, from point data such as sensor measurements to raster data such as satellite or radar
• Developing and improving an extensible data warehouse as the heart for weather modeling
• Ensuring of Performance, robustness and high availability
• Development of interfaces for the exchange of data from a wide variety of applications
• Testing, validating, visualizing and documenting new approaches and their performance

Need-to-have

• Hold a senior position at a reputable company or at least 5 years of professional experience in the field of data engineering
• You have already set up scalable ETL pipelines, know the common database systems and have experience with common ETL libraries
• Experience with distributed systems and various cloud providers
• You are proficient in Python, as well as in a compiled language (C/C++, Java, Julia or Go)
• You can develop solutions independently based on targets and have experience with agile work
• Experience in handling large amounts of data (>1TB)
• You have experience and interest in the development of the idea, from a prototype to the finished product
• You appreciate the values of an open feedback culture and transparency

Nice-to-have

• You are familiar with the Google Cloud Platform & AWS ecosystem
• M.Sc., and preferably a PhD in computer science
• Experience with GIS-based data such as satellite, radar or radiosondes
• Leadership experience
• You have already had touchpoints in weather & climate science
• Extensive geographical knowledge
• You are attracted to a growing environment, great opportunities and a lot of creative freedom

At Jua, we foster a performance culture and value people who embody our beliefs of service and adventure. We prioritize agility, operating at the highest clock speed to adapt quickly to change. We innovate on behalf of our users and leverage data supremacy to maintain our competitive edge. Through clear communication and fact-based decision-making, we ensure alignment in our pursuit of excellence. With these principles, we aim to create a customer-focused, value-centric organization that sets new standards in the industry. We value the unique perspectives that each individual brings to the table and believe that embracing diverse backgrounds and experiences enriches our collective journey towards growth and success.