Lead Diffusion Scientist - Video Generation AI

Genmo; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A cutting-edge research lab is seeking a researcher to lead initiatives in advanced video generation. The ideal candidate will hold a Ph.D. in a relevant field, have a strong publication record, and be proficient in Python and deep learning frameworks. This role involves developing state-of-the-art algorithms and conducting rigorous experiments. Candidates should be near the Bay Area or open to relocation. Equal opportunity employer.

Qualifications

• Strong publication record in top-tier conferences, particularly in generative models.
• Extensive experience optimizing large-scale generative models for video tasks.
• Deep understanding of state-of-the-art techniques in text-to-video generation.

Responsibilities

• Lead research initiatives in advanced diffusion models for text-to-video generation.
• Develop algorithms for translating textual descriptions into video content.
• Conduct experiments to validate new ideas and evaluate model performance.

Skills

Publication record in top-tier conferences

Experience implementing generative models

Understanding of text-to-image and text-to-video techniques

Proficiency in Python and deep learning frameworks

Excellent communication skills

Collaborative teamwork

Education

Ph.D. in Computer Science or related field

Tools

PyTorch

TensorFlow

Job description

A cutting-edge research lab is seeking a researcher to lead initiatives in advanced video generation. The ideal candidate will hold a Ph.D. in a relevant field, have a strong publication record, and be proficient in Python and deep learning frameworks. This role involves developing state-of-the-art algorithms and conducting rigorous experiments. Candidates should be near the Bay Area or open to relocation. Equal opportunity employer.