Research Scientist, Real-Time DiT Video Models
Remote US Full-time Mid-level Video Production
Mid-level Video Production role at Oddin. Remote · full-time.
Role brief
Growth Roles summary, based on the employer's posting.
What you'll do
- You'll create and refine diffusion-based video models for consistent, realistic, stylistic output
- You'll develop video-generation algorithms and test newer diffusion designs for controllable synthesis
- You'll work with teams on datasets covering human motion, gestures, facial expressions, and scene context
- You'll define validation methods and metrics for comparing generated footage with real gameplay
- You'll follow research from CVPR, NeurIPS, ICML, and ICCV and connect it to the roadmap
What you bring
- You'll hold a PhD in computer vision, machine learning, or a closely related field
- You'll have hands-on research experience with video diffusion models and video or image synthesis
- You'll show research publications at leading venues such as CVPR, NeurIPS, ICCV, Siggraph, or ICML
- You'll use Python and PyTorch and understand CNNs, Transformers, diffusion, and autoregressive models
- You'll benefit from experience generating video in real time
Who this fits
This role suits a research-focused ML expert with a strong video synthesis background and published work at leading conferences. It is a remote, full-time position. The listing does not state travel, visa, or people-management requirements.
From the employer
About Valka
Valka, a visionary spin-off from the Realms Group (the parent company of Oddin.gg), is on a mission to revolutionize the way people create and experience digital content. Our team believes that content shouldn’t just be consumed; it should be co-created in real time, blurring the lines between imagination and reality. By harnessing the power of cutting-edge AI, we aim to build an interactive human-digital platform where virtual characters respond dynamically to each user’s voice, text, gestures, and more.
This is your chance to join a diverse group of innovators who are driven to redefine what’s possible in generative content. Together, we’re changing the paradigm from passive viewing to active participation, unlocking new creative frontiers across gaming, entertainment, education, and beyond.
Key Responsibilities:
Design, develop, and optimize AI video generation models using diffusion techniques, with a focus on maintaining consistency, realism, and style.
Develop and implement state-of-the-art algorithms for generating video content.
Work closely with other teams on large-scale video datasets, including human motion and gestures, facial expressions, and scene context.
Experiment with cutting-edge diffusion architectures for controllable and high-quality video synthesis.
Define robust validation strategies and implement custom evaluation metrics comparing synthetic vs. real gameplay.
Stay on the bleeding edge of the relevant literature, e.g., CVPR, NeurIPS, ICML, ICCV, and help to align it with our roadmap.
Required Qualifications:
🎓 PhD in Computer Vision, Machine Learning, or a closely related field.
👉 Hands-on experience with research of video diffusion models.
🤝 Strong research background in image or video synthesis demonstrated by having publications at top tier conferences such as CVPR, NeurIPS, ICCV, Siggraph, and ICML.
🚀 Experience with real time video generation is a big plus.
💼 Proficiency in Python and ML frameworks such as PyTorch
🪨 Solid understanding of neural architectures or paradigms (CNNs, Transformers, diffusion models, autoregressive models etc.).
Join us at Valka to lead a new wave of interactive video content, one where your creativity and technical prowess will help transform entire industries and reimagine how digital content is created, shared, and experienced.
This role offers a unique opportunity to shape the future of interactive video content, where digital humans can engage in meaningful and dynamic interactions with users. If you're a passionate ML expert with a drive to innovate and create immersive experiences, we encourage you to apply.
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