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Senior Machine Learning Engineer - 3D Reconstruction

appliedSunnyvaleDana for Physical AI
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Salary
$190K – $260K
Job type
Full-time
Experience
Senior · 5+ yrs
Posted
6 Oct 2026
Status
Open · checked 7d ago

About this role

This Senior Machine Learning Engineer position is located in Sunnyvale and suits professionals who thrive at the intersection of 3D computer vision, graphics, and machine learning. The role focuses on advancing the core reconstruction technology behind Neural Simulation to turn real-world driving data into high-fidelity simulation environments.

Role Overview

Applied Intuition is hiring a Senior Machine Learning Engineer for its Sunnyvale office. The position requires working primarily from the office five days a week with schedule flexibility. The engineer will advance learning-based reconstruction methods to support global automotive and defense industries in developing autonomous vehicles.

Key Responsibilities

Advance learning-based reconstruction methods including 3D Gaussian Splatting and NeRFs to improve fidelity, robustness, and scalability
Push the limits of neural reconstruction for large-scale driving scenes, covering dynamic actor reconstruction, novel view synthesis, and multi-sensor rendering
Explore and productionize feed-forward reconstruction approaches to reduce optimization cost and scale reconstruction
Build evaluation metrics, benchmarks, and validation workflows to measure reconstruction fidelity
Collaborate with customers, infrastructure, autonomy, and research teams to deliver end-to-end solutions

Requirements

Minimum of 5 years of experience developing and shipping machine learning or computer vision systems
Minimum of a Bachelor's degree in computer science, physics, robotics, or an equivalent field
Hands-on experience with modern learning-based 3D reconstruction techniques like 3D Gaussian Splatting and NeRFs
Foundation in multi-view geometry, camera models, and differentiable rendering
Proficiency in Python, PyTorch, C++, and/or CUDA
Ability to turn research ideas into production-quality software

Nice to Have

Experience with feed-forward or generalizable Gaussian Splatting and reconstruction models
Background in computer vision such as SfM, SLAM, and photogrammetry, or computer graphics like rendering and ray tracing
Track record of shipping machine learning products with defined evaluation metrics
Experience in autonomous driving or robotics with multi-sensor data
Peer-reviewed research at venues like CVPR, ICCV/ECCV, NeurIPS, SIGGRAPH, ICRA, or IROS
Master's degree or PhD in computer science, physics, robotics, or related fields

Skills and Tools

Python
PyTorch
C++
CUDA
3D Gaussian Splatting
NeRFs

Salary and Benefits

Salary range of $190K to $260K
Equity offers included

About the Company

Applied Intuition powers physical AI by creating digital infrastructure for moving machines. Founded in 2017 and headquartered in Sunnyvale, California, the company serves the automotive, defense, trucking, construction, mining, and agriculture industries. Its solutions are trusted by major global automakers and the United States military.

How to Apply

Apply on the official company careers page.

Skills and tech stack

Questions candidates ask

Where is the position located?

The role is based in Sunnyvale, California, at the company headquarters.

What is the work schedule policy?

Applied Intuition is an in-office company where full-time employees primarily work from the office 5 days a week, with schedule flexibility for occasional remote work and personal commitments.

What is the salary range for this role?

The salary ranges from $190K to $260K with equity offers.

What experience level is required?

The candidate must have a minimum of 5 years of experience developing and shipping machine learning or computer vision systems.

What educational background is needed?

A minimum of a Bachelor's degree in computer science, physics, robotics, or an equivalent field is required.

Ready to apply?

The application is on the official applied careers page.

Apply on company site