multi-modal learning Jobs

Roboflow Labs is seeking a Research Scientist to join their applied research unit. This role sits at the intersection of benchmarks, models, and frontier labs, focusing on failure analysis, dataset specification, and validation of data quality. The scientist will contribute to publishing new benchmarks, extending existing ones like RF100-VL, and shaping the research agenda with work grounded in real-world deployments. This position offers the opportunity to see research directly translate into shipped data products and influence the direction of AI development.

$250k - $450k

NomadicML is building a platform to unlock machine intelligence from over 5 trillion miles of driving footage. They are developing Vision-Language Models (VLMs) that transform raw footage into structured intelligence for autonomy and robotics, partnering with industry leaders to extract insights from vast amounts of data. The company was founded by experts in distributed systems, large-scale model training, and AI research. This role is for a Machine Learning Engineer who will work at the intersection of foundation model research and production engineering. You will be instrumental in training and fine-tuning large-scale VLMs to understand complex real-world video, focusing on building multi-modal architectures that can perceive, localize, and describe motion events. Your work will translate research breakthroughs into robust APIs and SDKs for enterprise customers.