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Senior Machine Learning Engineer - 3D Reconstruction

Applied Intuition· Dana for Physical AI
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Sunnyvale$190k - $260kFull-timePosted 2w ago

About the role

Senior ML engineer to advance core 3D reconstruction for Neural Simulation, turning real-world driving data into high-fidelity photorealistic simulation environments, partnering with multiple teams and customers to push the state-of-the-art in 3D computer vision, graphics, and ML for autonomous driving.

Responsibilities

  • Advance the learning-based reconstruction methods at the core of our product, such as 3D Gaussian Splatting and NeRFs, bringing the latest research into production to improve fidelity, robustness, and scalability
  • Push the limits of neural reconstruction for large-scale, dynamic driving scenes, including: Dynamic actor reconstruction and scene editing; Novel view synthesis and multi-sensor rendering (camera, LiDAR); Scaling reconstruction quality and throughput across large volumes of fleet data
  • Explore and productionize feed-forward reconstruction approaches that reduce per-scene optimization cost and enable reconstruction at scale
  • Define and build evaluation metrics, benchmarks, and validation workflows that measure reconstruction fidelity and sim-to-real gap
  • Work closely with customers to understand their pain points and implement technical solutions in the Neural Simulation product
  • Collaborate closely with Infra, Autonomy, Research and other product teams to deliver end-to-end solutions
  • Take ownership of critical technical components and influence architecture and product decisions

Qualifications

  • 5+ years of experience developing and shipping ML or computer vision systems
  • A minimum of a Bachelor's degree in computer science, physics, robotics, or equivalent
  • Strong hands-on experience with modern learning-based 3D reconstruction techniques, such as 3D Gaussian Splatting and NeRFs
  • A solid foundation in multi-view geometry, camera models, and differentiable rendering
  • Proficiency in Python and PyTorch, along with C++ and/or CUDA
  • A proven ability to turn research ideas into robust, production-quality software
  • Strong problem-solving skills and comfort with ambiguity

Skills

Required:3D reconstructionMulti-view geometryPythonPyTorchC++/CUDAProduction ML softwareProblem-solving

Benefits

  • Equity (as part of compensation)
  • Competitive base salary in the listed range
Last updated Oct 11, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
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