ML Engineer

About The Company

At VEED, we're a generative AI company building the AI video creation platform made for social. It's where millions of marketers imagine and generate branded videos, in minutes. We're powered by frontier models and VEED Fabric, our own image-to-video model. Our APIs also run AI video inside leading creative products. We're 150 people, $50M ARR, backed by Sequoia. We are hiring.

Come help us make AI videos worth posting.

We’re a distributed team with hubs in London, Barcelona, and Amsterdam. Our ML team is mainly in London, so we’re open to candidates already based there, willing to relocate, or working remotely within 4–5 hours of London time (GMT).

You’ll be joining a team of experienced ML engineers and researchers (ex-Spiritme, ex-Pipio) working on scaling our generative video models. The team’s goal is to turn breakthroughs in research into fast, reliable, and accessible systems that power VEED’s future.

We’ve just released Fabric — a DiT-based speech-to-video model that turns spoken words into coherent, human‑centric video. We’re now building the next version and a suite of video generation & editing models focused on cont rollability, quality, and speed. You will work across the full model lifecycle for Fabric 2 and related models — from exploring new research and approaches to training and fine‑tuning models.

Your work will turn ideas from research into features creators use every day.

• Training and fine‑tuning models to create best‑in‑class generation and editing people‑centric video models
• Running experiments to boost visual quality, lip sync, and cont rollability
• Defining clear metrics and evaluation loops and using them to guide decisions
• Work closely with infra and performance engineers and collaborate with the product team

• Model/Training:
  PyTorch, diffusion/DiT, diffusers, transformers, torch.compile, torch.distributed, torchrun, Accelerate, PEFT/LoRA.
• Data:
  Python, Hugging Face datasets, Web Dataset‑style storage, ffmpeg, large‑scale curation & filtering.
• Serving:
  Optimised PyTorch/TensorRT runtimes in GPU‑backed Python services; experiment tracking, A/B testing, eval pipelines.
• Hardware:
  Access to latest‑gen NVIDIA GPUs H100 and B200 for training and inference.

• Experience training diffusion or transformer models for video, vision, or audio with results in production or papers
• You care about shipping useful ML, not just benchmarks. You enjoy owning problems and collaborating across teams.
• Strong data and experimentation skills and confidence designing practical metrics
• Comfortable writing clean Python and reviewing research with a pragmatic eye
• Clear communicator who can explain trade‑offs and make sound decisions
• Motivated by impact and by making generative video better, faster, and more accessible

• Monthly subsidy programme:
  Different people have different needs and therefore value different benefits. Providing this as a subsidy allows you to have the greatest flexibility to apply when you value most - whether that be to offset the cost of office furniture, childcare, gym membership, etc.
• Unlimited paid holidays:
  We value that you get more time with your family and friends.
• Home office set‑up:
  We have an IT Equipment programme to make sure your home office is adequately set up with IT equipment including a laptop, monitors, headsets/earbuds, keyboards and more!
• Mental health benefit:
  We’ve partnered with Spill to provide all our employees with confidential mental health support.

This role is open at IC3 or IC4 level depending on experience. The salary range across both levels is £76,000 - £119,400 gross per year. The level and offer are determined by the scope of the role and…