Senior Machine Learning Engineer, Simulation Evaluation
Core
Architect scalable deep learning systems and evaluation tools to mathematically prove the realism of Waymo's complex virtual simulation environments for autonomous driving.
Role type
Senior IC machine learning engineer (simulation evaluation)
Builds
Scalable ML pipelines, discriminator models, and eval tools for multimodal world models and generative systems
Domain
Autonomous driving, simulation, generative AI, multimodal world modeling
Deliverable
production ML models
Required skills
Python, Jax, Flax, PyTorch, ML pipeline architecture, evaluation framework design, generative vision paradigms, vision language models
Preferred skills
Large-scale generative model training (diffusion, flow matching, VLMs), 3D generative models, sensor data simulation (camera, lidar, radar), autonomous systems software, GPU/TPU cluster optimization, C++
Technologies
Jax, Flax, PyTorch, Vision Language Models, Diffusion Models, Flow Matching
Responsibilities
Lead design and deployment of evaluation approaches for multimodal world models; Architect and implement ML pipelines for tuning and deploying discriminator models; Evaluate video generation techniques for realism metrics; Apply vision language models to assess semantic understanding; Collaborate on integrating 4D world modeling into production systems; Mentor engineers on architecture and execution
Seniority
Senior, hands-on IC with mentorship