Sr. Data Scientist - Louisville, United States - Environmental Systems Research Institute, Inc.

Description

Overview Passionate about 3D deep learning research and solutions that will impact the work of hundreds of thousands of users? Join our AI Prototypes Team and push the frontiers of artificial intelligence working with point clouds, photogrammetric meshes, oriented imagery and elevation rasters to create new and exciting tools for 3D feature extraction and generation.

This is a great opportunity to join a research-oriented team that works with the SOTA deep learning architectures and ideas, publishes its research results, and contributes to development of next-gen Esri software.

Responsibilities Research and implementation of generative deep learning architectures, training of neural network models for the Urban Scene Generator (USG) project - AI-assisted Urban Planning and

Urban Design:
LOD1 and LOD2+ buildings, street furniture, terrain, orthophoto, vegetation, and more Work with client-app teams' stakeholders (CityEngine, ArcGIS Urban, Professional Services) on alignment of the R&D goals and market needs, trajecto Contribute to neural network design and architectural decisions, do actual implementations, run local and distributed trainings, code automated hyperparameter search Work on deployment pipeline: Scalable and robust Inference-as-a-Service ArcGIS Online offering (USG service)

MLOps, Continuous Integration, Continuous Deployment Service federation & Billing Work with the data engineering team on defining the specs for training and inference datasets Stay current on latest SOTA developments in generative neural networks across multiple domains:

raster, meshes, point clouds, LLM, and more Collaborate with other researchers and developers within and across the teams throughout the R&D process Be ready to advise on design and architectural decisions outside of the USG project Solve and articulate complex problems with design, rapid prototypes, and user experiences Additional R&D duties as assigned Requirements Demonstrated 5+ years of combined experience with the following: GANs in general, Pix2PixHD-alike architectures in particular Transformers Diffusion architectures Multimodal foundation models PyTorch, PyTorch Lightning, Distributed Data Parallel, Distributed Model Parallel 3D formats and structures: Wavefront OBJ, Pytorch3d or Kaolin meshes and camera models Ubuntu, Docker, AWS cloud (EC2 compute) ArcGIS Server REST API, Geoprocessing services, ArcGIS Pro, CityEngine SCRUM Familiarity with the domains of Urban Planning and Urban Design Strong research background Excellent written and verbal communication skills Bachelor's in computer or data science, mathematics, robotics, remote sensing, computer vision, AI, computational design Recommended Qualifications Experience with C++, CGAL Familiarity with Differentiable Rendering, Reinforcement Learning Experience with CityEngine, CGA and procedural content generation, ArcGIS Network Analyst Experience with Autodesk Revit, Rhino Grasshopper, BIM Understanding of scalable CPU- or GPU-based processing of large volumes of point clouds and rasters Experience with NVIDIA RAPIDS, NVIDIA Kaolin, PyTorch Geometric Master's or Ph.

D. in computer or data science, mathematics, robotics, remote sensing, computer vision, AI, computational design #LI-RC2 #LI-Remote

Total Rewards Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth.

Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other busi ess and o A reasonable estimate of the base salary range is $95,680 $164,320 USD

The Company At Esri, diversity is more than just a word on a map.

When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work.

We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process.

We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work.

Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website . If you don't meet all of the preferred qualifications for this position, we encourage you to still apply Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic