
201 - 500 employees
đïž Construction
đ€ Artificial Intelligence
Construction âą Artificial Intelligence
OpenSpace is on a mission to bring new levels of transparency to construction. We combine simple off-the-shelf 360° cameras, computer vision, and AI to make it incredibly easy to capture a complete visual record of a job site, share it via the cloud, and track progress remotely. Our customers have used the platform to capture over 11 billion square feet of active construction projects around the world. OpenSpace is based in San Francisco, California.
đ„ 15 hours ago
đșđž United States â Remote
đ” $184k - $265k / year
â° Full Time
đ Senior
đ§ AI Research Scientist
đ» Ghost score 0%
Where this job comes from
Posted on OpenSpace's careers page, not through a job board
First seen by Remote Rocketship 15 hours ago
Still open on OpenSpace's site. Checked 20 minutes ago.

201 - 500 employees
đïž Construction
đ€ Artificial Intelligence
Construction âą Artificial Intelligence
OpenSpace is on a mission to bring new levels of transparency to construction. We combine simple off-the-shelf 360° cameras, computer vision, and AI to make it incredibly easy to capture a complete visual record of a job site, share it via the cloud, and track progress remotely. Our customers have used the platform to capture over 11 billion square feet of active construction projects around the world. OpenSpace is based in San Francisco, California.
âą Design and build agent systems that plan and execute multi-step tasks across imagery, geometry, and documents âą Build retrieval and grounding over a spatially and temporally indexed site record âą Design the tools an agent uses to locate components, compare captures, read drawing regions, or query BIM elements âą Build evaluations for tasks with ambiguous ground truth and assess production readiness âą Select frontier APIs, open-weight models, fine-tuned small models, or classical computer vision based on cost, latency, and accuracy âą Make outputs traceable to supporting pixels, drawing sheets, or specification sections âą Prototype quickly, discontinue ineffective approaches, and partner with platform engineers to ship successful solutions
âą M.S./Ph.D. in a related field or equivalent industry experience âą 5+ years building ML systems âą At least one LLM or VLM-based system taken to production and kept running âą Experience designing evaluations from scratch where ground truth is expensive, sparse, or contested âą Strong multimodal fluency: vision-language models, embeddings and retrieval, context design, and fine-tuning âą Python, async orchestration, tracing and cost instrumentation âą Comfort with spatial data, including coordinate frames, camera poses, and projections âą Judgment about what is worth automating âą Post-training or reinforcement learning on agent trajectories is nice to have âą Document understanding over technical drawings, specifications, or structured PDFs is nice to have âą Experience with mobile capture, wearables, or field audio is nice to have âą Experience in construction, robotics, geospatial, or another physical-world domain is nice to have
âą 100% employer-paid medical, dental, and vision coverage âą Flexible paid time off âą 401(k) with company match âą Paid parental leave âą Home office stipend âą Employee referral program âą Annual company retreats and team gatherings âą Equity awards âą Region-specific health and wellness benefits
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