Senior ML Engineer - 3D Reconstruction & NeRF Innovation

Front Door Defense; Sunnyvale, Northern (CA, KY); Hybrid; USD 190,000 - 260,000; Full time

Job summary

Applied Intuition in Sunnyvale, CA is seeking a Senior Machine Learning Engineer to lead production-grade 3D reconstruction from real-world driving data. You will advance 3D Gaussian Splatting and NeRF-based methods, scaling to large data sets and delivering robust, production-ready software for autonomy systems.

The role requires 5+ years in ML or CV, strong Python/PyTorch, and C++/CUDA skills, plus a track record of turning research into deployable systems.

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.
• 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
• Push the limits of neural reconstruction for large-scale, dynamic driving scenes, including dynamic actor reconstruction and scene editing, and novel view synthesis and multi-sensor rendering
• 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

Python

PyTorch

C++

CUDA

3D reconstruction

NeRFs

Gaussian Splatting

Multi-view geometry

Differentiable rendering

Education

Bachelor's degree

Job description

Applied Intuition in Sunnyvale, CA is seeking a Senior Machine Learning Engineer to lead production-grade 3D reconstruction from real-world driving data. You will advance 3D Gaussian Splatting and NeRF-based methods, scaling to large data sets and delivering robust, production-ready software for autonomy systems.

The role requires 5+ years in ML or CV, strong Python/PyTorch, and C++/CUDA skills, plus a track record of turning research into deployable systems.