Want to know if this job is worth applying to?
San Francisco, California, United States
Hybrid
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 at scale. Computer 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 at scale. You’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.
At the Staff level, this role is ideal for a technical leader who is equally comfortable with deep 3D reconstruction work, product strategy, architectural tradeoffs, experiment design, and production deployment. You’ll help connect long-term technical vision, day-to-day engineering execution, and market-driven product needs so Hover’s CV roadmap delivers maximum customer and business impact.
You’ll join a high-performing team of computer vision researchers, reconstruction engineers, graphics specialists, and 3D modelers building systems that turn real-world capture into accurate digital twin models at commercial scale.
In this role, you will design, prototype, evaluate, and productionize 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.
For Staff-level candidates, we also look for deeper technical leadership and broader organizational impact, including:
Nice to haves
Hover has Hubs in San Francisco and New York City, where we expect that all employees living within a 50-mile radius of our offices will come into their local Hover office at least three times a week to build rapport and foster organic connection. At this time, Hover is not considering fully remote roles.
The US base salary range for this full-time position is $188,000-$322,000 annually. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all applicable US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. We've posted a range that spans multiple levels within this position to reflect the breadth of candidates we're considering.
#LI-JN1 #LI-Hybrid