Senior ML Engineer, 3D Reconstruction & NeRFs

applied

Sunnyvale (CA)

On-site

USD 180,000 - 240,000

Full time

7 days ago
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Job summary

Applied Intuition, Inc. is seeking a senior machine learning engineer to advance the core reconstruction technology behind Neural Simulation.

You will bring 3D reconstruction research into production, improving fidelity and scalability for driving data used to train and validate autonomy systems. Ideal candidates have strong background in 3D computer vision, NeRFs, Gaussian Splatting, and experience shipping ML systems at scale.

Qualifications

  • 5+ years of experience developing and shipping ML or computer vision systems.
  • 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.

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.
  • 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.

Skills

3D reconstruction
NeRFs
Gaussian Splatting
Python
PyTorch
C++
CUDA
Production software

Education

Bachelor's degree in CS/Physics/Robotics

Tools

PyTorch
CUDA

Job description

Applied Intuition, Inc. is seeking a senior machine learning engineer to advance the core reconstruction technology behind Neural Simulation.

You will bring 3D reconstruction research into production, improving fidelity and scalability for driving data used to train and validate autonomy systems. Ideal candidates have strong background in 3D computer vision, NeRFs, Gaussian Splatting, and experience shipping ML systems at scale.

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