Senior Research Engineer - Video Foundation Models (Pre - Training)
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FULL DESCRIPTION
Senior Research Engineer - Video Foundation Models (Pre - Training)
Company: [Employer hidden — sign up to reveal]
Location: Remote (Europe)
Posted: Mar 13, 2026
[Employer hidden — sign up to reveal] is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, [Employer hidden — sign up to reveal] develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.
About the role
As a Research Engineer in our Video Pre-Training team, you will help build the next generation of production-grade foundation models for human-centric video generation. You will join a highly focused team working at the intersection of large-scale generative modeling, distributed systems, and production engineering. Our mission is to develop and optimize video base models that power realistic, controllable, and emotionally expressive synthetic humans at scale. This is not pure research. This is applied research with direct product impact. You will work on advancing training recipes, scaling distributed systems, improving evaluation frameworks, and optimizing inference to ensure our models are high quality, stable, and efficient enough for real-world deployment. Your work will directly influence models used by tens of thousands of businesses worldwide.
What you’ll do
- Developing and scaling latent video diffusion models tailored for human-centric video generation
- Designing conditioning mechanisms to improve control (pose, emotion, script, camera) without sacrificing fidelity
- Advancing distributed training strategies (DDP, FSDP, DeepSpeed, sequence parallelism) under real compute constraints
- Improving training stability at multi-node scale
- Designing rigorous evaluation frameworks combining automated metrics and structured human evaluation
- Optimizing inference for low latency, high resolution, and cost efficiency
- Running controlled ablations and experiments to drive high-signal modeling decisions
- Contributing to high engineering standards: reproducibility, experiment tracking, CI/CD, monitoring
What we’re looking for
Must-have
- Strong experience training deep learning models at scale
- Strong Python and PyTorch skills
- Hands-on experience with diffusion models (image domain required; video preferred)
- Experience with large scale multi-GPU / multi-node training
- Good understanding of distributed training (DDP, FSDP, DeepSpeed or similar)
- Ability to design controlled experiments and interpret noisy results
Nice-to-have
- Experience with video diffusion models
- Experience in avatar or human-centric generation
- Familiarity with world / interactive models
- Experience with GANs or VAEs
- Experience optimizing inference systems for production
Our stack
- Python, PyTorch, CUDA
- DeepSpeed, distributed training & inference
- Sequence parallelism
- AWS, SLURM, Docker
- GitHub, CI/CD pipelines
Who you are
- You are research-driven but outcome-focused
- You care about shipping, not just publishing
- You can explore multiple ideas quickly and drop low-signal directions early
- You communicate clearly and present results scientifically
- You operate independently but collaborate actively across teams
Why join us?
- Build production-scale video foundation models in a fast-growing Generative AI company
- Work on human-centric video generation with real-world impact
- Tackle hard problems in scaling, stability, and controllability
- Influence the direction of next-generation synthetic human technology
- Join a highly technical, high-ownership environment where your work ships
Our culture
At [Employer hidden — sign up to reveal] we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here.
Serving 50,000+ customers (and 50% of the Fortune 500)
We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2.
Proprietary AI technology
Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind.
AI Safety, Ethics and Security
AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always. Learn more about our commitments to AI Ethics, Safety & Security.
The good stuff...
- Competitive compensation (salary + stock options + bonus)
- Fully remote from Europe or hybrid work setting with an office in London, Amsterdam, Zurich, Munich
- 25 days of annual leave + public holidays
- Great company culture with the option to join regular planning and socials at our hubs
- + other benefits depending on your location