Senior Machine Learning Engineer 3D Reconstruction
Job description
You will develop learning-based 3D reconstruction methods for driving simulations. You will productionize research, improve reconstruction fidelity and scalability, build evaluation workflows, solve customer technical problems, and influence technical architecture.
Responsibilities
- Advance learning-based 3D reconstruction methods
- Productionize research to improve fidelity, robustness, and scalability
- Develop reconstruction for dynamic driving scenes
- Build evaluation metrics, benchmarks, and validation workflows
- Implement customer technical solutions
- Collaborate on end-to-end solutions
- Own critical technical components and influence architecture
Requirements
- 5+ years developing and shipping machine learning or computer vision systems
- Experience with 3D Gaussian Splatting and NeRFs
- Knowledge of multi-view geometry, camera models, and differentiable rendering
- Python, PyTorch, and C++ and/or CUDA proficiency
- Ability to productionize research ideas
Benefits
- Equity
- Occasional remote-work flexibility
Skills mentioned
Applied Intuition is a vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, the firm offers a comprehensive Vehicle OS, self-driving system, and toolchain that enable automakers, defense contractors, and heavy-industry players to design, test, and deploy autonomous vehicles more quickly. With a valuation of $15 billion after its Series F round, Applied Intuition’s solutions are trusted by 18 of the world’s 20 leading automakers and major defense programs. The company’s global footprint—headquartered in Mountain View with offices across the U.S., Europe, and Asia—supports its mission to deliver cutting-edge AI and engineering tools across automotive, defense, trucking, construction, mining, and agriculture sectors.
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