Technical Lead Manager, Synthetic Data

📋 Description

• Set the technical direction for post-training and conditioning world models for synthetic-data
• Own the loop end to end: generation, evaluation and training as one system with reproducible lineage
• Get hands-on with key components, codebases and experiments
• Drive inference optimisation (distillation, few-step sampling, KV caching, step count) and
• Lead a high-performing, cross-functional team of ML engineers and applied scientists
• Collaborate with world-model researchers, platform and infra engineers, driving-model owners and

🎯 Requirements

• 5+ years of experience in ML engineering or applied research roles, with a track record of training
• 4+ years of people management experience, including direct reports and cross-functional project
• Deep knowledge of generative modelling (diffusion, flow matching, autoregressive, or VAEs) applied
• Hands-on experience with video, generative or world models (e.g., video generation, novel-view
• Working knowledge of cameras and 3D geometry (multi-camera rigs, intrinsics/extrinsics, warps and
• Evidence of closing the loop: taking generated or simulated data into a trained downstream model