We’re looking for a Machine Learning Engineer ready to take on ambitious AI challenges in construction. You’ll independently drive model development—from early experimentation to deployment and monitoring. This role suits someone self-directed, impact-driven, and comfortable in fast-paced, unstructured environments with a builder’s mentality.Here’s what you’ll be doing:- Build and deploy machine learning models from scratch, from experimentation to production- Develop computer vision and deep learning models to analyze architectural drawings- Research and apply LLM techniques for text-based tasks (in-context learning, prompt engineering, fine-tuning)- Operate and monitor ML systems in production to ensure stability and accuracy- Prototype and de-risk uncertain tasks with creative, pragmatic approaches- Collaborate with the team to integrate ML into customer-facing featuresWhat we’re looking for (Must-Haves):- Startup experience in fast-paced, agile teams- 5+ years of hands-on experience in computer vision and deep learning- Strong Python proficiency- Expertise in PyTorch and OpenCV- End-to-end experience with text models; familiarity with in-context learning, automated prompt engineering, and fine-tuning- Hands-on experience with CNNs, ViTs, Transformers, RCNNs, and LLMs- Proven ability to build, deploy, and monitor ML systems in production- Comfortable tackling unstructured problems with creative solutionsNice-to-Haves:- SaaS/B2B product experience delivering real customer value- Product experienceWhat’s in it for you:- Build cutting-edge AI transforming the construction industry- Full-lifecycle ownership from research to deployment- Startup environment with direct product and customer impact- Full-time remote position (bonus if you’re based in Austin or NYC)- Competitive salary and equity grant