Machine Learning Engineer, Synthetic Data
Core
Build, scale, and optimize next-generation world model architectures (GAIA) to generate multimodal synthetic data for accelerating autonomous driving development.
Role type
Senior IC machine learning engineer (synthetic data & world models)
Builds
Generative world models and high-throughput synthetic data pipelines for autonomous vehicle training
Domain
Autonomous driving / Generative AI / Computer Vision
Deliverable
production ML models
Required skills
Applied ML / research engineering, Python, PyTorch, GPU training/debugging, video/generative/world models (diffusion/flow-matching), 3D geometry & camera rigs, large-scale generation workflows
Preferred skills
Rig transfer, pose transfer, neural rendering, RL training, workflow orchestration
Technologies
GAIA, SDS, Flyte, MCAP, NVS, Diffusion, Flow-matching (via careerplan.io/jobs/b52585d5-ed8a-4ec8-90f5-2cd06b766e73-machine-learning-engineer-synthetic-data-at-wayve)
Responsibilities
Post-train world models for rig/pose transfer, manage large-scale GPU inference jobs, integrate synthetic data into driving model training, diagnose geometry/calibration failures, optimize generation throughput, expand coverage to new vehicle platforms
Seniority
Senior, hands-on IC
