Machine Learning Engineer - 3D Sensor Simulation

• Research, implement, and optimize state of the art 3D rendering of sensor data, leveraging GenAI/ML and 3D graphics.
• Develop realism metrics with V&V to show measurable impact of your improved sensor fidelity. 
• Collaborate with Perception and Safety teams to improve realism of sensor simulation for high fidelity synthetic data.
• Improve rendering and ML inference tooling for generating realistic data at scale.

• 2+ years of industry experience, and/or PhD, developing neural rendering techniques like Gaussian Splatting, NeRFs, or 3D reconstruction
• 2+ years of experience developing software with Python and/or modern C++
• Expertise with machine learning frameworks PyTorch or Tensorflow
• Familiarity with 3D graphics algorithms, such as 3D geometry and camera models
• Strong mathematical skills and understanding of 3D linear algebra and probabilistic techniques

• Master's or PhD in computer science, mathematics, physics, or related field
• Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender.
• Experience in 3D rendering for simulation, games, cloud computing, or VFX 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.