The Role:
We are looking for versatile backend engineers who have experience in data engineering and who are passionate about making a global impact in sustainable building development. If you love wearing multiple hats and delivering new capabilities end to end, from first prototype to deployment, then you could be a strong fit.
We’re looking for problem solvers who are excited to write high quality software to solve complex challenges with multimodal data. You might spend some of your time developing data schemas for multimodal data, building data orchestration, or scaling AI pipelines. You will be part of a talented, interdisciplinary engineering team helping build an AI platform from the ground up.
How you will make an Impact
- Design and implement robust, end to end production-level software to enable inference, optimization, and other complex services as part of a SaaS offering
- Build scalable representations of complex data types
- Build data orchestration pipelines to manipulate geospatial, vector and text-based data
- Collaborate with AI engineers to build scalable, reproducible deployment pipelines for machine learning models and AI services.
- Work effectively with cross-functional teams of engineers, scientists, domain experts and PMs
What you should have:
- Bachelor’s degree in CS or equivalent practical experience
- 5+ years of experience building large, complex software systems and applications
- Experience working with messy and complex data sets and building data orchestration
- Strong python development skills
It’d be great if you also had these:
- Experience with infrastructure as code
- Experience with GCP
- Experience with geospatial data
- Experience working in an early stage company with rapidly changing requirements