You will build the foundational infrastructure that powers next-generation filmmaking technology. This role focuses on designing high-performance data platforms and training systems for TB-scale multimodal datasets. You will bridge the gap between research and production, ensuring distributed training pipelines and inference services are efficient, reliable, and scalable for Hollywood-grade content.
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Senior ML Systems Engineer at well-funded media AI startup
Are you ready to build the infrastructure powering the future of Hollywood? We are looking for a Senior ML Systems Engineer to join a well-funded AI startup in London. In this role, you will design the high-performance data platforms and distributed training systems that enable filmmakers to refine and localize content at scale. If you have deep expertise in PyTorch, Ray, and TB-scale video pipelines, this is your chance to own the full stack from ingestion to production inference in a high-impact creative field.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
Confidential company
Role overview
About the company
Well-funded media AI startup
What you will do
- Build and optimize a multimodal data platform using tools like Arrow, Parquet, and vector search to curate massive video datasets.
- Scale distributed training pipelines using PyTorch and Ray to improve performance across multi-node GPU setups.
- Own the production inference stack, optimizing model ensembles and request protocols using Triton for high-throughput delivery.
Who this is a fit for
- Proven track record building ML infrastructure, training platforms, or data systems rather than just training models.
- Deep expertise in Python systems engineering and hands-on experience with PyTorch internals and distributed training (DDP/FSDP).
- Strong intuition for data performance trade-offs and experience handling TB-scale datasets or high-throughput media pipelines.
Why this role is remarkable
- Work at the intersection of generative AI and entertainment, building tools that give filmmakers creative superpowers.
- Join a well-funded team backed by top-tier VCs where ML infrastructure is the core product, not a cost center.
- Solve complex technical challenges involving large-scale video data, high-performance compute clusters, and real-time inference.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.