Senior or Computer Vision Engineer

Overview

Hover helps people design, improve, and protect the properties they love. With proprietary AI built on over a decade of real property data, Hover answers age-old questions like “What will it look like?” and “What will it cost?” Homeowners, contractors, and insurance professionals rely on Hover to get fully measured, accurate, and interactive 3D models of any property — all from a smartphone scan in minutes.

At Hover, we’re driven by curiosity, purpose, and a shared commitment to serving our customers, communities, and each other. We believe the best ideas come from diverse perspectives and are proud to cultivate an inclusive, high-performance culture that inspires growth, accountability, and excellence. Backed by leading investors like Google Ventures and Menlo Ventures, and trusted by industry leaders including Travelers, State Farm, and Nationwide — we’re redefining how people understand and interact with their spaces.

We’re expanding Hover’s 3D Reconstruction platform to solve one of our most ambitious technical challenges: transforming real-world sensor data into accurate, structured, CAD-quality models puter Vision doesn’t just support Hover’s products, it defines them. We’re looking for either a Senior or Staff Computer Vision Engineer who can turn cutting-edge research into scalable production capabilities while helping shape the future of our reconstruction systems.

This role is ideal for someone who wants to own meaningful technical work end to end, move quickly without large-company bureaucracy, and help build accurate digital twin models of the real world ’ll work across research, experimentation, and production: reading papers, reproducing and adapting promising academic approaches, training deep learning models, designing rigorous experiments, building proof-of-concepts, and turning successful ideas into robust engineered systems that reach users.

In this role, you will design, prototype, evaluate, and product ionize advanced computer vision and deep learning systems for 3D reconstruction, scene understanding, semantic modeling, and structured property representation. You will work across the full lifecycle of applied research and engineering: identifying relevant academic and industry approaches, writing project plans and technical specs, building proof-of-concepts, training and evaluating models, analyzing reconstruction quality and performance, and integrating successful approaches into production systems.

You will partner closely with 3D reconstruction, Product, Design, Engineering, modeling, infrastructure, graphics, frontend, and backend teams to turn ambiguous technical and customer needs into clearly scoped experiments and production capabilities. Success in this role requires strong technical judgment, clear communication, and the ability to make practical tradeoffs between research quality, user impact, production constraints, performance, reliability, and cost.

Your work may include mobile capture, aerial imagery, multimodal sensor fusion, multi-view reconstruction, pose estimation, feature matching, dense geometry, model fitting, semantic understanding, volumetric, surfel, or surface-based representations, CAD-quality structured outputs, and emerging methods such as Gaussian Splatting, VLMs, or foundation-model-style approaches for correspondence and 3D understanding.

At the Staff level, you will also be expected to shape technical direction across larger initiatives: framing problems, sizing opportunities, prioritizing technical investments, and making “stop / iterate / scale” judgments across reconstruction approaches, model development, data strategy, quality targets, and product impact. You will communicate technical tradeoffs, resource needs, and roadmap implications to cross-functional partners and leadership.

You will help raise the technical bar for the team by setting standards for performance, reliability, maintainability, and cost; leading by example in Python and/or C++; and mentoring engineers through design reviews, architecture discussions, experiment plans, and production-readiness reviews.

Your…