OpenSpace is the Visual Intelligence Platform built for construction teams. Turn jobsite imagery into real-time insights that drive better decisions, faster. Trusted on 95,000+ projects worldwide. Backed by Lux and Menlo.
About the role
The Sr. AI Research Engineer will build agentic systems that reason across the full OpenSpace data record: 360° imagery, point clouds, BIM models, drawing sets, and specifications, plus the newer streams coming off mobile capture, wearables, and field audio. Our computer vision team builds the perception primitives that determine what is in a capture. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- M.S./Ph.D. in a related field or equivalent industry experience
- 5+ years building ML systems, including at least one LLM or VLM-based system you took to production and kept running. We will ask what broke
- 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 when it earns its cost
- Solid engineering. Python, async orchestration, tracing and cost instrumentation. You build your own harness
- Comfort with spatial data. You don't need SLAM depth, but coordinate frames, camera poses, and projections shouldn't slow you down
More about this role
At OpenSpace, we’re redefining how the world’s most complex projects are built. Our AI-powered Visual Intelligence Platform uses computer vision and spatial AI to give construction teams a real-time view of what’s happening on-site, helping them build faster, safer, and with greater confidence.
But what truly sets us apart is our people. We hire curious, driven teammates who love solving hard problems, taking ownership, and making a real-world impact. Great people build great culture—and apparently it shows. Forbes has named OpenSpace one of America’s Best Startup Employers five years in a row. Come see what all the fuss is about ✨
The Sr. AI Research Engineer will build agentic systems that reason across the full OpenSpace data record: 360° imagery, point clouds, BIM models, drawing sets, and specifications, plus the newer streams coming off mobile capture, wearables, and field audio. Our computer vision team builds the perception primitives that determine what is in a capture. You will build the layer above, combining those primitives with frontier models to answer the questions project teams actually ask, and making the answers verifiable enough that a builder will act on...
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