Computer Vision Research Engineer

Acceler8; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Acceler8 Talent is partnering with a frontier AI research startup to recruit a Computer Vision Research Engineer. The role focuses on developing low-latency multimodal models for gaming environments with future robotics and human-AI collaboration applications.

You will work on research-grade video understanding models, build real-time perception systems, and optimize architectures for fast inference while exploring temporal representations across extended interactions.

Qualifications

• 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/PyTorch research engineering experience.
• Familiarity with recent VLM/VLA research and real-time visual perception.

Responsibilities

• Research and develop video understanding models, VLMs and multimodal architectures.
• Build real-time perception systems for recognising 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.
• Optimise visual models for low-latency inference and real-time interaction.

Skills

Python/PyTorch

VLMs

Multimodal transformers

Education

PhD in Computer Vision or ML

Job description

Computer Vision Research Engineer | VLMs, Video Understanding & Multimodal AI | San Francisco, CA

I'm partnering with a well-funded frontier AI research startup developing low-latency multimodal models and intelligent agents capable of interacting with humans in real time.

They're looking for an experienced Computer Vision Research Engineer to develop advanced visual perception systems, initially focused on gaming environments, with future applications in robotics and human-AI collaboration.

The role:

• Research and develop video understanding models, VLMs and multimodal architectures
• Build real-time perception systems for recognising 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
• Optimise visual models for low-latency inference and real-time interaction

What they're looking for:

• 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/PyTorch research engineering experience
• Familiarity with recent VLM/VLA research and real-time visual perception

Why consider it?

• An opportunity to conduct original research within a well-backed AI lab, developing multimodal systems that bridge gaming, intelligent agents and robotics.
• You'll work on challenging research problems with direct applications to real-time human-AI interaction.

Location:

San Francisco, CA (City)