Senior Machine Learning Engineer, Vision Models
Core
Build and qualify offline scene-understanding models to measure autonomous vehicle driving performance and safety.
Role type
Senior IC machine learning engineer (vision models)
Builds
Transformer-based, multimodal, and vision-language models for detection, segmentation, classification, and scene understanding
Domain
Autonomous driving / Computer vision
Deliverable
production ML models
Required skills
Deep learning model training and shipping, Transformer architectures, Fine-tuning large pretrained/foundation models, Python, PyTorch, Large-scale training, Ambiguous problem scoping
Preferred skills
3D scene understanding, Offline modelling, Auto-labelling, Temporal or world models, Autonomous vehicles, Robotics, Distributed training
Responsibilities
Build, train, and fine-tune scene-understanding models for offline measurement; Adapt on-vehicle architectures and foundation models for offline use; Improve accuracy and generalisation across vehicle platforms and conditions; Benchmark models and diagnose failure modes; Define quality bars and statistically credible evidence for validation pipelines; Mentor others on ML and engineering practices
Seniority
Senior, hands-on IC