Member of Technical Staff, Machine Learning

About the Company

NomadicML is building a platform that unlocks machine intelligence from video footage. Our Vision-Language Models (VLMs) transform raw footage into structured intelligence to power real-world autonomy and robotics, partnering with leaders in self-driving and industrial automation.

Responsibilities

• Train and evaluate VLMs specialized for motion understanding in autonomous-driving and robotics datasets
• Design and scale GPU-accelerated pipelines for training, fine-tuning, and inference on multi-modal data
• Build agentic evaluation frameworks for spatiotemporal reasoning and localization accuracy
• Develop and productionize curation loops using models to generate and refine datasets
• Publish high-impact research while shipping production features

Requirements

• Strong proficiency in Python and PyTorch
• Experience with large-scale ML workflows
• Research experience in foundation models, VLMs, or multi-modal learning
• Ability to iterate quickly and run end-to-end experiments
• Experience training or fine-tuning models on video or sensor data
• Understanding of retrieval systems, embeddings, and GPU optimization

Preferred Qualifications

• Contributions to open-source ML frameworks like DeepSpeed or Hugging Face
• Experience with vector databases, distributed training, or ML orchestration (Ray, Kubeflow, MLflow)
• Prior exposure to autonomous-driving or robotics datasets