Computer Vision Research Engineer (VLMs)

Location: San Francisco, CA (City), United States

Salary: $180,000–$220,000 annual base salary; up to $230,000 base salary plus equity is also stated.

Company

Frontier AI research startup developing low-latency multimodal models and intelligent agents capable of interacting with humans in real time.

What you will do

• Research and develop video understanding models, VLMs, and multimodal architectures.
• Build real-time perception systems for recognizing actions, objects, and spatial relationships.
• Develop temporal representations for understanding events across extended interactions.
• Train and evaluate models using demonstrations, synthetic data, and interactive environments.
• Optimize visual models for low-latency inference and real-time interaction.

Requirements

• PhD in Computer Vision, Machine Learning, or a related field.
• Strong publications at CVPR, ICCV, ECCV, NeurIPS, ICLR, or ICML.
• Deep experience with VLMs, video understanding, or multimodal transformers.
• Strong Python and PyTorch research engineering experience.
• Familiarity with recent VLM/VLA research and real-time visual perception.

Culture & Benefits

• Conduct original research within a well-backed AI lab.
• Develop multimodal systems connecting gaming, intelligent agents, and robotics.
• Work on research problems with direct applications to real-time human-AI interaction.
• Compensation includes base salary and potentially equity.

Hiring process

• Apply directly or contact the recruiter for a confidential discussion.