Research Scientist

Overview

A $13M seed-stage AI startup is building next-generation spatial intelligence for real-world environments. The team is applying advanced Vision-Language Models to high-complexity industrial settings and has secured a uniquely strong proprietary dataset, early distribution, and a world-class technical leadership bench.

This is a high-impact role reporting directly to the Chief Science Officer. You will work on frontier ML challenges, leveraging one of the largest egocentric video datasets in the world to design, train, and deploy VLMs that operate in dynamic, unstructured environments. The work spans foundational research through production deployment on both edge devices and cloud infrastructure.

• Architecting and training novel VLMs using large-scale multimodal data
• Leading research initiatives around fine-tuning, long-context modeling, and visual reasoning
• Building scalable training, evaluation, and deployment pipelines
• Developing lightweight edge-optimized models and high-capacity server-side models
• Driving benchmarks and metrics for spatial intelligence performance
• Partnering with robotics, data, and hardware teams on end-to-end system design

• 3+ years of experience training large-scale deep learning models (transformers preferred)
• Strong background in Python and modern DL frameworks (PyTorch, Tensor Flow, or JAX)
• Experience with large vision or multimodal datasets
• Solid engineering fundamentals and ability to own research end-to-end

• Publications in top ML/CV venues, experience with fine-tuning LLMs/VLMs, edge model optimization, quantization, or long-video modeling

• Direct influence on core research and technical direction
• Work with leaders from top AI organizations (Deep Mind, Tesla, Meta, NVIDIA, and more)
• Access to a rare, defensible dataset powering frontier VLM research
• Chance to build foundational intelligence for large-scale physical environments

If you d prefer sharing your resume through email, please share here: r.ga

Let s connect on Linked In: