Direct message the job poster from OpenHouse.ai
OpenHouse.ai is the leading AI research and deployment company transforming the $300B+ new home construction industry.
Our Quantitative AI platform is deployed across Asa 30+ markets in the U.S. and Canada, helping forward-thinking builders make smarter decisions around pricing, demand, forecasting, and growth. Our vision is to become the operational intelligence backbone for the homebuilding ecosystem.
About the Role
We are looking for a highly skilled Data & Integration Engineer with a solid foundation in data pipeline development andarticles the ability to switch from architecting to debugging and everything in between. The engineer will report directly to the Head of R&D, take ownership of data flows from API to output, and contribute to both early and post‑commercial products. In doing so, they will gain deep exposure to the housing industry’s critical data, often fragmented and manual, and learn to manage it more efficiently.
The role demands a blend of architecture, debugging, and operational knowledge. The engineer will work in a productive, collaborative environment, synthesizing learnings across clients and partnering with strong data engineers and scientists to build systems that influence billions of dollars of revenue for new‑home builders.
If you’re excited about disrupting a long‑standing industry by turning underleveraged data into a core business lever, we want to hear from you.
Your Typical Responsibilities
- Investigate available data and data sources, design integrations and code the data pipeline for new clients into existing productionized systems
- Improve and expand integration capabilities with existing new‑home building technologies (ERPs, CRMs, data warehouses, etc.)
- Architect generic solutions to make integrations faster, more scalable, and less error‑prone
- Migrate and run existing clients through new capabilities, tuning machine‑learning parameters and models along the way
- Optimize and tune existing machine‑learning models when new data is available
- Discover and correct data anomalies, working with the engagement team and solution engineer to ensure insights are based on ground‑truth
About You
A highly skilled software engineer passionate about data structures, real‑life applications of technology, and fast, iterative problem solvingProficient in Python; experience with PyTorch and / or TensorFlow is an asset ожExperience with or ability to understand data warehouses, data lakes, and legacy ERP databasesStrong fundamental understanding of SQLThey analytic functionsBasic understanding of statistical distributions, analyzing histograms, and an intuitive grasp of datasets when exploring potential featuresSolid foundation in collaborative coding and use of tools like GitExperience using Jupyter notebooks or similar research‑phase tools to quickly explore data / models is an assetDesire to learn or experience with machine‑learning pipelinesDesire to learn or experience with how to engineer, train, and tune quantitative AI modelsNo minimum work experience is required muamuaFlexible working hours outside of core hoursHybrid work with fully remote potentially available depending on locationVacation & paid time offбез Dental and medical benefitsJob Types : Permanent, Full‑time
Compensation
$70,000.00‑$110,000.00 PER YEAR
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