Machine Learning Generalist

Machine Learning Generalist - World Models

ML / Research Engineering

Location: Global Remote

Our client is building the next generation of creative tools powered by state-of-the-art AI. We’re looking for an ML Generalist to sit at the intersection of research and engineering and help productionize cutting-edge models used by millions of creators.

What you’ll do

• Own end-to-end work on large-scale ML systems: from experimentation to production
• Productionize research models (VLM/LLM/CV) into reliable, high-performance products

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• Lead large-scale model training, including data pipelines, evaluation, and deployment
• Work closely with research to design tooling that accelerates iteration and prototyping
• Improve datasets, infrastructure, and workflows to push the limits of model performance

What we’re looking for

• Startup experience is a must – you’ve shipped real systems in fast-moving environments
• Strong background in ML for VLM, LLM or Computer Vision (one or more)
• Hands-on experience with large-scale training (billions of parameters and/or internet-scale data)
• Solid engineering skills (Python, modern ML stack, infra/tooling for training & inference)

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• Comfort operating in a hybrid research engineering role with high ownership and ambiguity

Nice to have

• Experience building internal tools for researchers (evaluation, experiment management, data tooling)
• Prior work on multimodal models or creative/media-focused ML applications

If you’re excited about shipping real products, working closely with world-class researchers, and owning impactful ML systems end-to-end, we’d love to connect.