Construction is the 2nd largest industry in the world (4x the size of SaaS!). But unlike software (with observability platforms such as AppDynamics and Datadog), construction teams lack automated feedback loops to help projects stay on schedule and on budget. Without this observability, construction wastes a whopping $3T per year because glitches aren’t detected fast enough to recover. Doxel AI exists to bring computer vision to construction, so the industry can deliver what society needs to thrive. From hospitals to data centers, from foreman to VPs of construction, teams use Doxel to make better decisions everyday. In fact, Doxel has contributed to the construction of the facilities that provide many of the products and services you use everyday. We have classic computer vision, deep learning ML object detection, a low-latency 3D three.js web app, a complex data pipeline powering it all in the background. We’re building out new workflows, analytics dashboards, and forecasting engines. We’re at an exciting stage of scale as we build upon our growing market momentum. Our software is trusted by Shell Oil, Genentech, HCA healthcare, Kaiser, Turner, Layton and several others. Join us in bringing AI to construction! The Role Engineers on the Backend team produce the foundation for Doxel's construction insights. The team owns the behind the scenes technology that snapshots hundreds of thousands of square feet of construction activity per day and the software that ingests 100s of gigabytes of data per site per day. You will work closely with Product, Frontend Engineering, and Design to build a polished product that serves customer’s needs in an intuitive way. You will also work internally with teams that build and train our state-of-the-art CV and ML automation pipelines. As the company serves a growing number of customers, the engineering team needs to bolster the data pipeline and API platform we have built to reduce the frequency of service disruptions and make the platform easier to extend in order to support new features. You will apply your backend software development expertise to promote strong design patterns and unify our data pipeline so different teams and systems work well together, acting as a force multiplier. Outside of your domain, you're eager to learn, inside your domain you're able and willing to teach us something. You care deeply about reliable, low-upkeep software.
What You'll Do
Create and maintain APIs to serve our front-end applications.
Extend our ETL pipeline to meet evolving business needs.
Create diagnostic tools to track data quality and pipeline performance.
Find the right trade-offs between "fast" and "rigorous" in a dynamic startup.
Monitor complexity in our workflows and introduce general, flexible, and simple paradigms for our data flow and computation infrastructure.
Work with our Computer Vision and Machine Learning engineers to release state-of-the-art 3D computer vision models.
What You'll Bring to the Team
5+ years with experience in Python, C++ or a FP Language
3+ years of experience working in a full stack or back end focused engineering role within an agile, cloud based environment
2+ year of experience working with ETL pipelines.
Experience with Kubernetes and Airflow
Experience with SQL and deep database knowledge for modifying queries and tables.
Experience with test driven development
Experience with CV or ML development not required but considered a plus
Bachelor’s degree in Computer Science or other technical discipline
The base salary for this position is $160,000 - $210,000, plus equity and benefits. Pay is based on factors such as location, skill level, qualifications, competencies, and overall experience.
