AI/ML/CV Engineer

About the Role

We're building at the intersection of Multimodal AI, Computer Vision, Spatial Understanding, and Temporal Vision. You will work on systems that help machines perceive, understand, track, and learn from visual information across time and space.

Key Responsibilities

• Work on systems that help machines perceive, understand, track, and learn from visual information across time and space.
• Work with research models, datasets, and emerging AI architectures.

Requirements & Tech Stack

• Strong foundation in Computer Vision and Deep Learning.
• Experience with VLMs/VLAs, Vision Encoders, and Foundation Models.
• Knowledge of video/temporal models such as VideoSwin, TimeSformer, ViViT, V-JEPA.
• Experience with embeddings, feature extraction, multimodal fusion, and representation learning.
• Familiarity with LoRA/QLoRA, SAM/DINO, OpenCV, CNNs, RNNs/LSTMs, or TCNs.

Qualifications

• Understanding of spatial/egocentric vision, SLAM or NeRFs is a strong plus.
• Curiosity, strong fundamentals, experimentation mindset, and the ability to work with cutting-edge vision models.