Hiring: Research Scientist, Computer Vision Company: Beam AI Location: San Jose, CA Job Posted Time: 2026-09-03 07:37:44 Target Skills & Keywords : AWS, Azure, CAD, Computer Vision, Data Pipeline, Deep Learning, GCP, LLM, Machine Learning, NLP, PyTorch, Python About the job Experience: •8 years of applied machine learning or AI research experience with a strong focus on computer vision and deep learning. We'll calibrate level and compensation to what you've built. •8 years of relevant experience; level and compensation will be aligned with experience, research depth, and impact. Required Skills: •As a Research Scientist, you'll advance computer vision, deep learning, and NLP that power automated takeoff and estimation. The core problem is unsolved: a plan set is hundreds of pages drafted to dozens of CAD conventions, where the same primitive is a wall, a hatch pattern, or a leader line depending on context a model has to infer. •You'd be an early member of the US research team, which means real influence over the directions we pursue. You'll own research problems end to end and take models to production. •Own research problems end to end: framing, data, experiments, ablations, and the model that ships •Advance deep learning models for object detection, semantic segmentation, and structured extraction on vector and raster construction drawings •Build multimodal systems combining visual layout, geometry, and text •Design evaluation frameworks to continuously improve the model •Stay current with computer vision and ML research and evaluate what's relevant to construction-industry problems •2–8 years of applied machine learning or AI research experience with a strong focus on computer vision and deep learning. We'll calibrate level and compensation to what you've built. Qualifications: •Master's or PhD in Computer Science, Machine Learning, Electrical Engineering, Mathematics, or a related field •Operational familiarity with vector graphics and CAD formats (SVG, DXF, DWG, IFC) •LLM and NLP experience like structured extraction, retrieval over long documents •Model optimization: quantization, pruning, knowledge distillation •Publications or open-source contributions in computer vision or deep learning •Empirical over theoretical — we'd rather run the experiment than argue about it •Truth-seeking, including about our own results. A negative result reported early is worth more than a positive one defended late •Research is judged by whether it holds up in front of 1,200 contractors, not by whether it's clever •The base salary range for this role is $170,000 – $275,000, plus equity. The final offer depends on experience and level. We sponsor visas. If you need sponsorship now or in the future, please apply. Compensation: •$170,000 - $275,000 / year •The base salary range for this role is $170,000 – $275,000, plus equity Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!