Machine Learning Engineer - 3D Sensor Simulation
Zoox · Foster City, CA
Skills in this posting
The posting
In this role, you will
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.
Qualifications
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
Bonus Qualifications
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
The PivotHop read
- What a machine learning engineer actually earnsmedian, seniority, by country
- Where machine learning engineers move nextevery measured route out
- Data Scientist → Machine Learning Engineer54% readiness
- MLOps Engineer → Machine Learning Engineer49% readiness
- All open machine learning engineer rolesthe full board
Where these skills also reach
- 518 open data scientist roles70% readiness from machine learning engineer
- 428 open ai engineer roles59% readiness from machine learning engineer
- 9 open conversation designer roles54% readiness from machine learning engineer
- 33 open mlops engineer roles48% readiness from machine learning engineer
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