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Machine Learning Engineer – Perception and Sensor Simulation
| Company | Waymo |
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| Location | Mountain View, CA, USA |
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| Salary | $170000 – $216000 |
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| Type | Full-Time |
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| Degrees | PhD |
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| Experience Level | Junior, Mid Level |
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Requirements
- PhD in Computer Science, Machine Learning (ML), Robotics, or similar technical field of study, or equivalent practical experience.
- 2+ years of experience with ML engineering and applied Deep Learning.
- 2+ years of experience on Multi-modal Generative Models, including diffusion or foundational world models, OR machine learning-based 3D Reconstruction techniques, including 3D Gaussian Splatting (3DGS) and Neural Radiance Fields (NeRF), depth estimation techniques.
- Fluency in Python, with experience developing ML software using frameworks such as PyTorch, TensorFlow and Jax/Flax.
Responsibilities
- Join our world-class research engineering team and drive innovation in ultra-realistic sensor data and perception simulation for autonomous vehicles.
- Develop the latest simulation technologies using foundation models for embodied agents.
- Apply your deep ML expertise, in Generative AI (GenAI), to push the boundaries of simulation realism and directly influence the advancement of autonomous driving technology.
- Work in close collaboration with Waymo’s foundational AI research team to transfer State-of-The-Art research into scalable and production-ready solutions.
Preferred Qualifications
- Experience with processing or simulating (Lidar, Camera, or MIMO Radar) sensor data.
- Experience with autonomous systems including robotics or autonomous vehicles (L4, L3+).
- Experienced with C++, in integrating ML models into a production system.
- Experience training large-scale models on GPU/TPU clusters.
