Research Engineer

Research Engineer, Multimodal Datasets

US Remote
$400k + Equity

This is an opportunity to shape how next generation AI systems learn about the world. You will work at the intersection of data, modelling, and experimentation, owning the datasets that underpin cutting edge multimodal models. If you are motivated by high impact research and want to directly influence real world model capability, this role offers uncommon scope and ownership.

The Company
They are a well funded AI research and product organisation focused on advancing multimodal systems beyond traditional language models. Their work centres on building models that can understand and simulate complex environments across video, image, and interactive contexts. With significant recent investment and rapid growth, they operate at the frontier of generative media and real time simulation. The culture is collaborative, research driven, and focused on delivering meaningful technical breakthroughs.

The Role
You will take ownership of the data strategy behind large scale multimodal models, influencing both research direction and real world product capability.

• Design and build large scale multimodal datasets across image and video domains
• Run structured experiments to understand how dataset composition impacts model performance
• Develop and maintain pipelines for synthetic data generation, curation, and quality control
• Define robust evaluation frameworks and benchmarks aligned to real use cases
• Collaborate with research, product, and creative teams to translate goals into data strategies
• Contribute to model training workflows, including pre training and fine tuning

Your Skills and Experience

• Strong commercial experience working with large scale machine learning or foundation models
• Hands on expertise with multimodal data, particularly image or video based systems
• Deep understanding of dataset design, curation, and evaluation in model performance
• Experience working across the full ML lifecycle including training, experimentation, and analysis
• Proficiency in frameworks such as PyTorch or JAX and distributed compute tools
• Evidence of research contribution, open source work, or strong technical projects
• A curiosity driven mindset with a genuine interest in advancing AI capabilities

What They Offer

• Highly competitive compensation with equity participation
• Fully remote working with a globally distributed team
• Significant ownership and influence over core model capabilities
• Opportunity to work on frontier AI challenges with real world impact
• A fast paced, low ego environment focused on innovation and learning

How to Apply
If you are interested in shaping the future of multimodal AI systems, please apply with your CV and relevant project or publication links.