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Senior AI Researcher, Agentic Systems

Job not on LinkedIn

đŸ”„ 15 hours ago

đŸ‡ș🇾 United States – Remote

đŸ’” $184k - $265k / year

⏰ Full Time

🟠 Senior

🧠 AI Research Scientist

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.

Logo of OpenSpace

OpenSpace

201 - 500 employees

đŸ—ïž Construction

đŸ€– Artificial Intelligence

Construction ‱ 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.

📋 Description

‱ Design and build agent systems that plan and execute multi-step tasks across imagery, geometry, and documents ‱ Build retrieval and grounding over a spatially and temporally indexed site record ‱ Design the tools an agent uses to locate components, compare captures, read drawing regions, or query BIM elements ‱ Build evaluations for tasks with ambiguous ground truth and assess production readiness ‱ Select frontier APIs, open-weight models, fine-tuned small models, or classical computer vision based on cost, latency, and accuracy ‱ Make outputs traceable to supporting pixels, drawing sheets, or specification sections ‱ Prototype quickly, discontinue ineffective approaches, and partner with platform engineers to ship successful solutions

🎯 Requirements

‱ M.S./Ph.D. in a related field or equivalent industry experience ‱ 5+ years building ML systems ‱ At least one LLM or VLM-based system taken to production and kept running ‱ Experience designing evaluations from scratch where ground truth is expensive, sparse, or contested ‱ Strong multimodal fluency: vision-language models, embeddings and retrieval, context design, and fine-tuning ‱ Python, async orchestration, tracing and cost instrumentation ‱ Comfort with spatial data, including coordinate frames, camera poses, and projections ‱ Judgment about what is worth automating ‱ Post-training or reinforcement learning on agent trajectories is nice to have ‱ Document understanding over technical drawings, specifications, or structured PDFs is nice to have ‱ Experience with mobile capture, wearables, or field audio is nice to have ‱ Experience in construction, robotics, geospatial, or another physical-world domain is nice to have

đŸ–ïž Benefits

‱ 100% employer-paid medical, dental, and vision coverage ‱ Flexible paid time off ‱ 401(k) with company match ‱ Paid parental leave ‱ Home office stipend ‱ Employee referral program ‱ Annual company retreats and team gatherings ‱ Equity awards ‱ Region-specific health and wellness benefits

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