Zero·San Francisco, CA·23 июля
Senior AI Research Engineer
250 000 – 300 000 $ в год
≈ 1,8 млн–2,1 млн ₽
🏢 ОфисSeniorПолная занятость
Платят на 50% выше медианы грейда.
Наша компания
Artificial intelligence is rewriting every industry it touches — but construction, the second largest sector in the global economy, has barely felt it yet. That's not a problem. That's an opening. ZeroRFI is the AI company building the intelligence layer for the built environment — the platform that makes every building project smarter, faster, and more predictable than the last. We're looking for a Principal Software Engineer to architect the systems that put AI at the center of how buildings get designed, built, and operated. This isn't AI as a feature. It's AI as the foundation. We are seek
О роли
This is a rare opportunity to apply cutting-edge AI research to one of humanity's most fundamental challenges: creating better spaces for people to live, work, and thrive.
Чем предстоит заниматься
Design and implement generative AI models for automated building design, including floor plan generation, facade design, and structural optimization using state-of-the-art architectures (diffusion models, transformers, GANs)
Develop computer vision pipelines for design and drawing analysis using modern frameworks like YOLO, SAM, and NeRF-based 3D reconstruction
Build graph neural networks and geometric deep learning models for structural analysis and MEP (Mechanical, Electrical, Plumbing) system optimization
Create reinforcement learning systems for multi-objective building optimization (energy efficiency, cost, occupant comfort, sustainability metrics)
Integrate AI models with industry-standard BIM tools (Revit, Rhino/Grasshopper) through custom APIs and plugins
Deploy production ML pipelines using modern MLOps practices, including experiment tracking (Weights & Biases, MLflow), model versioning, and A/B testing frameworks
Implement physics-informed neural networks for building performance simulation and predictive modeling
Collaborate with architects and engineers to ensure AI systems produce practical, code-compliant, and constructible designs
Lead research initiatives and publish findings to establish us as a thought leader in AEC AI innovation
Наши требования
Master's degree or PhD in Computer Science, AI/ML, Computational Design, or related field (or equivalent industry experience)
3-5+ years of hands-on experience building and deploying ML models in production environments
Deep expertise with modern deep learning frameworks (PyTorch preferred)
Strong foundation in computer vision, 3D geometry processing, and spatial reasoning algorithms
Experience with generative AI models (VAEs, GANs, Diffusion Models, Transformers) and their practical applications
Proficiency in Python and scientific computing libraries (NumPy, SciPy, scikit-learn, Open3D, trimesh)
Experience with cloud ML platforms (AWS SageMaker, Vertex AI, or Azure ML) and distributed training frameworks
Understanding of optimization techniques (genetic algorithms, gradient-based optimization, constraint satisfaction)
Strong software engineering practices and experience with containerization (Docker) and orchestration (Kubernetes)
Excellent communication skills to translate complex AI concepts to domain experts and stakeholders
Experience with computational design tools (Grasshopper, Dynamo) and parametric modeling
Familiarity with building information modeling (BIM) standards and IFC data schemas
Knowledge of graph neural networks (PyTorch Geometric, DGL) for structural and spatial analysis
Experience with physics simulation engines (Mujoco, Isaac Sim) or FEA integration
Background in multi-agent reinforcement learning for complex system optimization
Contributions to open-source ML projects or published research in relevant venues (NeurIPS, ICML, CVPR, or domain-specific conferences)
Experience with point cloud processing and 3D scene understanding (PointNet++, DGCNN)
Understanding of construction workflows and building codes
Мы предлагаем
Base salary $250,000–$300,000 plus meaningful early-stage equity. You're not joining a company where the upside is already priced in — you're one of the people pricing it
Hybrid work, your way: San Francisco or Atlanta, with a one-time home office stipend to build the setup you actually want
Healthcare done right: Comprehensive coverage with multiple plan options — we're not making you figure it out yourself
Unlimited PTO: We care about output, not hours logged
Retirement options: Multiple investment vehicles to plan long-term
Tools without bureaucracy: A curated toolkit of AI, development, and research resources with the autonomy to use what works
A network you can't buy: Direct exposure to ZeroRFI's owner and developer community — 53,000+ AEC industry subscribers, live events, and the relationships that matter in this industry