Sr. Data Scientist – Traffic Simulation and Street Optimization

Overview

Utilize your expertise in traffic simulation, street optimization, Urban Digital Twins, Deep Learning research and solutions to impact hundreds of thousands of users! We are seeking a Sr. Data Scientist to join our global AI Prototypes Team and push the frontiers of simulation and artificial intelligence to develop innovative traffic optimization tools for AI-assisted urban planning and beyond. This is a great opportunity to join research-oriented team that works on SOTA ideas, architectures and implementations, publishes its research results and contributes to development of next-gen Esri software.

• Drive the design, implementation and deployment of traffic simulation and street optimization products and services.
• Lead a focused group of software development and product engineers.
• Design efficient architectures and develop on top of existing traffic simulation solutions: macro, meso, micro scales:
  • Public-facing, secured and scalable Simulation/Inference-as-a-Service cloud offerings
  • MLOps and CI, guide numeric studies requirements & implementations
  • Security, Federation, Billing integration
• Work with Product Management on product offering strategy.
• Defining requirements for training and inference datasets. Working with legal team on validating licenses and data’s acceptable usage.
• Defining product/service lifecycle: versioning, synchronization of release cycle with partner-teams, backward compatibility, reviewing documentation.
• Represent Esri and the team at internal, international, and third‑party scientific and industry events. Do presentations, lead and contribute to scientific publications, podcasts, write blogposts and journal articles.
• Stay current on latest SOTA developments in traffic simulation, street optimization & generation, generative neural networks across multiple domains: graphs, raster, meshes & GS, point clouds, VLM/LLM, foundational geospatial models, etc. Collaborate with other researchers and developers within and across the teams throughout the R&D process.
• Solve and articulate complex problems with design, development, and user experiences.

• 5+ years of professional software development experience working with C++ and/or Python
• Demonstrated experience with R&D in multimodal (vehicular, pedestrian, public transportation, robotics, etc.) traffic simulation and optimization at macro, meso and macro levels
• Knowledge of and willingness to continue developing expertise in the following areas:
  • Traffic Simulation & Optimization:
    Traffic simulation packages; ML-based optimization methods
  • Machine Learning & AI:
    PyTorch; GANs;
    Graph Neural Networks; autoregressive and sequence-to-sequence models; foundational LLMs and VLMs; multimodal shared embedding models
  • Software & Infrastructure:
    Ubuntu;
    Docker; cloud computing and model deployment/serving
  • GIS & 3D Modeling:
    City Engine;
    ArcGIS Pro;
    ArcGIS Server; geoprocessing services
• Strong analytical problem-solving skills and research experience in relevant fields
• Excellent written and verbal communication skills
• Bachelor’s degree in computer science, data science, mathematics, robotics, remote sensing, computer vision or a related field
• Existing work authorization in Switzerland

• Scalable CPU- and GPU-based processing of large volumes of spatiotemporal data
• NVIDIA RAPIDS, NVIDIA Kaolin, PyTorch Geometric
• Leading roles in research of software development groups
• Master’s degree or higher in computer science, data science, mathematics, robotics, remote sensing, computer vision or a related field

• Free coffee, tea, and soft drinks
• Fun team activities
• Competitive salary
• 40‑hour work week
• Flexible working hours
• Dynamic, fast‑growing international team

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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.

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