Senior Machine Learning Engineer - 3D Reconstruction
Applied Intuition · Sunnyvale
Roboticsonsitesenior$190k–$260k
At a glance
Highlights
- Advance Neural Simulation to turn real driving data into high-fidelity simulation.
- Scale reconstruction quality and throughput across large fleet data volumes.
- Shape how leading global OEMs develop next-generation autonomous vehicles.
What they offer
- Equity
Ideal candidate
You thrive at the intersection of 3D vision, graphics, and ML and love turning cutting-edge research into robust products. You take ownership, enjoy tackling hard simulation problems, and want your work to power real-world autonomy.
Requirements
- 5+ years of experience developing and shipping ML or computer vision systems
- Minimum 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
- Solid foundation in multi-view geometry, camera models, and differentiable rendering
- Proficiency in Python and PyTorch, along with C++ and/or CUDA
- Proven ability to turn research ideas into robust, production-quality software
- remote policy
- In-office 5 days a week with occasional flexibility for remote work
Lab profile
About Applied Intuition
Builds simulation, vehicle OS, and autonomy infrastructure for automotive, defense, and heavy industries.
What they build
- Autonomy software stacks
- Vehicle operating systems
- Simulation and validation tooling
Known for
- Trusted by 18 of top 20 global automakers
- Expertise across automotive, defense, trucking, mining and agriculture
- Full-stack coverage from tooling to OS to autonomy
Key facts
- Founded in 2017
- Headquartered in Silicon Valley
- Valued at $15 billion
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