Tech Stack

Description

You will harness your knowledge of generative models to propel video creation tools forward, translating state-of-the-art research into innovative features that enhance user experience. Your role involves developing scalable solutions to make video creation more intuitive and accessible, while collaborating with a diverse team in a dynamic startup environment.

Requirements

• A Master's or PhD in Computer Science, Engineering, or a related field
• 1-3 years of experience in machine learning and computer vision, demonstrating practical application of generative models and a passion for product-centric innovation.
• Proficiency in Python, with openness to other programming languages and tools as required by project demands.
• Experience with deep learning frameworks such as PyTorch, and a capacity for quickly mastering new technologies.
• A collaborative spirit with a proven track record in a team-based research or development setting.
• A lifelong learner with outstanding problem-solving skills and the ability to communicate effectively in a diverse team environment.

Responsibilities

• Applied Innovation and Product Development: Harness your knowledge of generative models, including GANs, Diffusion models, and other multi-modal models, to propel our video creation tools forward. Your role involves translating state-of-the-art research into innovative features that directly enhance our user experience and set our products apart.
• Real-World Solutions: Channel your research capabilities to develop scalable solutions that have a significant impact on our platform, making the video creation process more intuitive, powerful, and accessible to our users.
• Collaborative Engineering and Growth: Engage with a diverse team where collaborative efforts lead to extraordinary outcomes. Embrace an environment that promotes learning, mentorship, and teamwork, furthering both personal development and the advancement of our technology.