Research Scientist - Diffusion

Reposted 7 Days Ago
Be an Early Applicant
2 Locations
In-Office
Expert/Leader
Artificial Intelligence • Information Technology • Software • Generative AI
The Role
Design and develop image/video diffusion models, perform large-scale model training, maintain data for training, and optimize models for production use.
Summary Generated by Built In

SpAItial is pioneering the development of a frontier image/video foundation model, pushing the boundaries of AI, computer vision, and spatial computing. Our mission is to redefine how industries, from robotics and AR/VR to gaming and movies, generate and interact with image/video generation.

We’re looking for individuals who are bold, innovative, and driven by a passion for pushing the boundaries of what’s possible. You should thrive in an environment where creativity meets challenge and be fearless in tackling complex problems. Our team is built on a foundation of dedication and a shared commitment to excellence, so we value people who take immense pride in their work and place the collective goals of the team above personal ambition. As a part of our startup, you’ll be at the forefront of the AI revolution in generative AI technology, and we want you to be excited about shaping the future of this dynamic field. If you’re ready to make an impact, embrace the unknown, and collaborate with a talented group of visionaries, we want to hear from you.

Responsibilities

  • Design and develop image/video diffusion foundational ML models.

  • Large-scale distributed model training.

  • Develop demos showcasing the trained model prototypes.

  • Processing and maintaining large data for model training.

  • Productionizing models, test-time model optimization.

Key Qualifications:

  • PhD in Computer Science or related field with a strong publication record in Machine Learning, Computer Vision, Robotics, or Graphics.

  • Strong knowledge of generative models (image/video diffusion).

  • Strong knowledge of modern transformer architectures

Preferred Qualifications:

  • Experience in generative models (GANs, diffusion, LLMs, etc).

  • Rich experience with large-scale deep-learning in PyTorch or similar.

  • Experience with modern video/image generative diffusion models.

  • Strong coding skills, able to rapidly iterate through ML experiments.

At SpAItial, we are committed to creating a diverse and inclusive workplace. We welcome applications from people of all backgrounds, experiences, and perspectives. We are an equal opportunity employer and ensure all candidates are treated fairly throughout the recruitment process.

Top Skills

Computer Vision
Generative Models
Machine Learning
PyTorch
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The Company
HQ: London
14 Employees
Year Founded: 2024

What We Do

SpAItial is pioneering Spatial Foundation Models (SFMs), a groundbreaking AI paradigm designed to generate and reason about the appearance and physics of real and imagined environments. SFMs possess an intrinsic understanding of space-time, enabling transformative shifts in applications at the intersection of virtual and physical worlds.
Unlike existing generative AI technologies such as LLMs, image, or video models, SFMs operate natively in physical space. This significantly advances their cognitive capabilities, which mimics human understanding. SFMs promise to revolutionize various applications across industries, from creating immersive virtual worlds for gaming and entertainment, to advancing CAD engineering and construction, to powering next-generation VR/AR experiences, and enabling sophisticated, physically-intelligent robotics.

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