Zero Emission Industries

Senior AI Research Engineer

San Francisco, CA · Senior

Sponsorship not specified$250k-$300kDetected 35 days ago

PythonAWSAzureDockerKubernetesMachine LearningPyTorchscikit-learnNumPyNLPLLMsFEAResearch

About the role

You're not joining a company where the upside is already priced in - you're one of the people pricing it.

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).
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.
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.

Master's degree or PhD in Computer Science, AI/ML, Computational Design, or related field (or equivalent industry experience).
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.
Strong software engineering practices and experience with containerization (Docker) and orchestration (Kubernetes).

Experience with computational design tools (Grasshopper, Dynamo) and parametric modeling.
Knowledge of graph neural networks (PyTorch Geometric, DGL) for structural and spatial analysis.
Experience with physics simulation engines (Mujoco, Isaac Sim) or FEA integration.
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).

A curated toolkit of AI, development, and research resources with the autonomy to use what works.

Compensation that reflects the role: Base salary $250,000–$300,000 plus meaningful early-stage equity.

Compensation that reflects the role: Base salary $250,000-$300,000 plus meaningful early-stage equity.
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.
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).
Hybrid work, your way: San Francisco or Atlanta, with a one-time home office stipend to build the setup you actually want.

This listing is sourced directly from Zero Emission Industries's careers page and normalized into a canonical job model.